Published on in Vol 21, No 7 (2019): July
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/13659, first published
.
Journals
- Goulooze S, Zwep L, Vogt J, Krekels E, Hankemeier T, van den Anker J, Knibbe C. Beyond the Randomized Clinical Trial: Innovative Data Science to Close the Pediatric Evidence Gap. Clinical Pharmacology & Therapeutics 2020;107(4):786 View
- Lee T, Shah N, Haack A, Baxter S. Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review. Informatics 2020;7(3):25 View
- Powell J. Trust Me, I’m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test. Journal of Medical Internet Research 2019;21(10):e16222 View
- Adly A, Adly A, Adly M. Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(8):e19104 View
- Xiang Y, Zhao L, Liu Z, Wu X, Chen J, Long E, Lin D, Zhu Y, Chen C, Lin Z, Lin H. Implementation of artificial intelligence in medicine: Status analysis and development suggestions. Artificial Intelligence in Medicine 2020;102:101780 View
- Alami H, Lehoux P, Auclair Y, de Guise M, Gagnon M, Shaw J, Roy D, Fleet R, Ag Ahmed M, Fortin J. Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity. Journal of Medical Internet Research 2020;22(7):e17707 View
- Javaid M, Haleem A, Khan I, Vaishya R, Vaish A. Extending Capabilities of Artificial Intelligence for Decision-Making and Healthcare Education. Apollo Medicine 2020;17(1):53 View
- Abd-Alrazaq A, Alajlani M, Alhuwail D, Schneider J, Al-Kuwari S, Shah Z, Hamdi M, Househ M. Artificial Intelligence in the Fight Against COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(12):e20756 View
- . A Path for Translation of Machine Learning Products into Healthcare Delivery. EMJ Innovations 2020 View
- Assadullah M. Barriers to Artificial Intelligence Adoption in Healthcare Management: A Systematic Review. SSRN Electronic Journal 2019 View
- Sendak M, Ratliff W, Sarro D, Alderton E, Futoma J, Gao M, Nichols M, Revoir M, Yashar F, Miller C, Kester K, Sandhu S, Corey K, Brajer N, Tan C, Lin A, Brown T, Engelbosch S, Anstrom K, Elish M, Heller K, Donohoe R, Theiling J, Poon E, Balu S, Bedoya A, O'Brien C. Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study. JMIR Medical Informatics 2020;8(7):e15182 View
- Morley J, Floridi L, Goldacre B. The poor performance of apps assessing skin cancer risk. BMJ 2020:m428 View
- Bukowski M, Farkas R, Beyan O, Moll L, Hahn H, Kiessling F, Schmitz-Rode T. Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?. European Radiology 2020;30(10):5510 View
- Sisk B, Antes A, Burrous S, DuBois J. Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare. Children 2020;7(9):145 View
- Baxter S, Bass J, Sitapati A. Barriers to Implementing an Artificial Intelligence Model for Unplanned Readmissions. ACI Open 2020;04(02):e108 View
- Chou M, Illa-Bochaca I, Minxi B, Darvishian F, Johannet P, Moran U, Shapiro R, Berman R, Osman I, Jour G, Zhong H. Optimization of an automated tumor-infiltrating lymphocyte algorithm for improved prognostication in primary melanoma. Modern Pathology 2021;34(3):562 View
- Shaw J, Sethi N, Block B. Five things every clinician should know about AI ethics in intensive care. Intensive Care Medicine 2021;47(2):157 View
- Baxter S, Saseendrakumar B, Paul P, Kim J, Bonomi L, Kuo T, Loperena R, Ratsimbazafy F, Boerwinkle E, Cicek M, Clark C, Cohn E, Gebo K, Mayo K, Mockrin S, Schully S, Ramirez A, Ohno-Machado L. Predictive Analytics for Glaucoma Using Data From the All of Us Research Program. American Journal of Ophthalmology 2021;227:74 View
- Goel P, Jain P, Pasman H, Pistikopoulos E, Datta A. Integration of data analytics with cloud services for safer process systems, application examples and implementation challenges. Journal of Loss Prevention in the Process Industries 2020;68:104316 View
- Begley K, Begley C, Smith V. Shared decision‐making and maternity care in the deep learning age: Acknowledging and overcoming inherited defeaters. Journal of Evaluation in Clinical Practice 2021;27(3):497 View
- Alexander J, Romito B, Çobanoğlu M. The present and future role of artificial intelligence and machine learning in anesthesiology. International Anesthesiology Clinics 2020;58(4):7 View
- Ilan Y. Second-Generation Digital Health Platforms: Placing the Patient at the Center and Focusing on Clinical Outcomes. Frontiers in Digital Health 2020;2 View
- Jadczyk T, Wojakowski W, Tendera M, Henry T, Egnaczyk G, Shreenivas S. Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology. Journal of Medical Internet Research 2021;23(5):e22959 View
- Tong H, Quiroz J, Kocaballi A, Fat S, Dao K, Gehringer H, Chow C, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Preventive Medicine 2021;148:106532 View
- Maassen O, Fritsch S, Palm J, Deffge S, Kunze J, Marx G, Riedel M, Schuppert A, Bickenbach J. Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey. Journal of Medical Internet Research 2021;23(3):e26646 View
- Yin J, Ngiam K, Teo H. Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review. Journal of Medical Internet Research 2021;23(4):e25759 View
- Bhatt S, Cohon A, Rose J, Majerczyk N, Cozzi B, Crenshaw D, Myers G. Interpretable Machine Learning Models for Clinical Decision-Making in a High-Need, Value-Based Primary Care Setting. NEJM Catalyst 2021;2(4) View
- Al Badi F, Alhosani K, Jabeen F, Stachowicz-Stanusch A, Shehzad N, AMANN W. Challenges of AI Adoption in the UAE Healthcare. Vision: The Journal of Business Perspective 2022;26(2):193 View
- Bates D, Levine D, Syrowatka A, Kuznetsova M, Craig K, Rui A, Jackson G, Rhee K. The potential of artificial intelligence to improve patient safety: a scoping review. npj Digital Medicine 2021;4(1) View
- Korinek A, Stiglitz J. Covid-19 driven advances in automation and artificial intelligence risk exacerbating economic inequality. BMJ 2021:n367 View
- Shung D, Sung J. Challenges of developing artificial intelligence‐assisted tools for clinical medicine. Journal of Gastroenterology and Hepatology 2021;36(2):295 View
- Kordzadeh N, Ghasemaghaei M. Algorithmic bias: review, synthesis, and future research directions. European Journal of Information Systems 2022;31(3):388 View
- Ahn J, Connell A, Simonetto D, Hughes C, Shah V. Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases. Hepatology 2021;73(6):2546 View
- Antes A, Burrous S, Sisk B, Schuelke M, Keune J, DuBois J. Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey. BMC Medical Informatics and Decision Making 2021;21(1) View
- Alzubaidi M, Zubaydi H, Bin-Salem A, Abd-Alrazaq A, Ahmed A, Househ M. Role of deep learning in early detection of COVID-19: Scoping review. Computer Methods and Programs in Biomedicine Update 2021;1:100025 View
- Baxter S, Lee A. Gaps in standards for integrating artificial intelligence technologies into ophthalmic practice. Current Opinion in Ophthalmology 2021;32(5):431 View
- d'Elia A, Gabbay M, Rodgers S, Kierans C, Jones E, Durrani I, Thomas A, Frith L. Artificial intelligence and health inequities in primary care: a systematic scoping review and framework. Family Medicine and Community Health 2022;10(Suppl 1):e001670 View
- Torrent-Sellens J, Jiménez-Zarco A, Saigí-Rubió F. Do People Trust in Robot-Assisted Surgery? Evidence from Europe. International Journal of Environmental Research and Public Health 2021;18(23):12519 View
- Saini F, Sharma T, Madan S. A Comparative Analysis of Expert Opinions on Artificial Intelligence: Evolution, Applications, and Its Future. Advanced Journal of Graduate Research 2021;11(1):10 View
- Pumplun L, Fecho M, Wahl N, Peters F, Buxmann P. Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study. Journal of Medical Internet Research 2021;23(10):e29301 View
- Åström J, Reim W, Parida V. Value creation and value capture for AI business model innovation: a three-phase process framework. Review of Managerial Science 2022;16(7):2111 View
- Khanijahani A, Iezadi S, Dudley S, Goettler M, Kroetsch P, Wise J. Organizational, professional, and patient characteristics associated with artificial intelligence adoption in healthcare: A systematic review. Health Policy and Technology 2022;11(1):100602 View
- Wang C, Zhang W, Wang S. An asymptotically optimal public parking lot location algorithm based on intuitive reasoning. Intelligent and Converged Networks 2022;3(3):260 View
- Bin K, Melo A, da Rocha J, de Almeida R, Cobello Junior V, Maia F, de Faria E, Pereira A, Battistella L, Ono S. The Impact of Artificial Intelligence on Waiting Time for Medical Care in an Urgent Care Service for COVID-19: Single-Center Prospective Study. JMIR Formative Research 2022;6(2):e29012 View
- Chen S, Novoa R. Artificial intelligence for dermatopathology: Current trends and the road ahead. Seminars in Diagnostic Pathology 2022;39(4):298 View
- Gama F, Tyskbo D, Nygren J, Barlow J, Reed J, Svedberg P. Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review. Journal of Medical Internet Research 2022;24(1):e32215 View
- Scott I, Carter S, Coiera E. Exploring stakeholder attitudes towards AI in clinical practice. BMJ Health & Care Informatics 2021;28(1):e100450 View
- Nilsen P, Svedberg P, Nygren J, Frideros M, Johansson J, Schueller S. Accelerating the impact of artificial intelligence in mental healthcare through implementation science. Implementation Research and Practice 2022;3 View
- Cornelissen L, Egher C, van Beek V, Williamson L, Hommes D. The Drivers of Acceptance of Artificial Intelligence–Powered Care Pathways Among Medical Professionals: Web-Based Survey Study. JMIR Formative Research 2022;6(6):e33368 View
- Kyung N, Kwon H. Rationally trust, but emotionally? The roles of cognitive and affective trust in laypeople's acceptance of AI for preventive care operations. Production and Operations Management 2022 View
- Etchebehere E, Andrade R, Camacho M, Lima M, Brink A, Cerci J, Nadel H, Bal C, Rangarajan V, Pfluger T, Kagna O, Alonso O, Begum F, Mir K, Magboo V, Menezes L, Paez D, Pascual T. Validation of Convolutional Neural Networks for Fast Determination of Whole-Body Metabolic Tumor Burden in Pediatric Lymphoma. Journal of Nuclear Medicine Technology 2022;50(3):256 View
- King H, Wright J, Treanor D, Williams B, Randell R. What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation. Journal of Medical Internet Research 2023;25:e38039 View
- Lu S, Swisher C, Chung C, Jaffray D, Sidey-Gibbons C. On the importance of interpretable machine learning predictions to inform clinical decision making in oncology. Frontiers in Oncology 2023;13 View
- Werder K, Ramesh B, Zhang R. Establishing Data Provenance for Responsible Artificial Intelligence Systems. ACM Transactions on Management Information Systems 2022;13(2):1 View
- Tricco A, Hezam A, Parker A, Nincic V, Harris C, Fennelly O, Thomas S, Ghassemi M, McGowan J, Paprica P, Straus S. Implemented machine learning tools to inform decision-making for patient care in hospital settings: a scoping review. BMJ Open 2023;13(2):e065845 View
- s K. Artificial Intelligence on Medical Fields. Data Analytics and Artificial Intelligence 2023;3(2):113 View
- Nickel P. Trust in medical artificial intelligence: a discretionary account. Ethics and Information Technology 2022;24(1) View
- Hehakaya C, Sharma A, van der Voort Van Zijp J, Grobbee D, Verkooijen H, Izaguirre E, Moors E. Implementation of Magnetic Resonance Imaging-Guided Radiation Therapy in Routine Care: Opportunities and Challenges in the United States. Advances in Radiation Oncology 2022;7(5):100953 View
- Joshi M, Mecklai K, Rozenblum R, Samal L. Implementation approaches and barriers for rule-based and machine learning-based sepsis risk prediction tools: a qualitative study. JAMIA Open 2022;5(2) View
- Jaiswal A, Yigzaw K, Ozturk P. F-CBR: An Architecture for Federated Case-Based Reasoning. IEEE Access 2022;10:75458 View
- Weinert L, Klass M, Schneider G, Heinze O. Exploring Stakeholder Requirements to Enable the Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Protocol for a Multistep Mixed Methods Study. JMIR Research Protocols 2022;11(12):e42208 View
- Shaw J, Donia J. The Sociotechnical Ethics of Digital Health: A Critique and Extension of Approaches From Bioethics. Frontiers in Digital Health 2021;3 View
- Kaul R, Ossai C, Forkan A, Jayaraman P, Zelcer J, Vaughan S, Wickramasinghe N. The role ofAIfor developing digital twins in healthcare: The case of cancer care. WIREs Data Mining and Knowledge Discovery 2023;13(1) View
- Lee Y, Lee Y. Designing AI Agent’s Social Interaction Quality in AI-based Fitness Services as a Mediator. Archives of Design Research 2022;35(3):145 View
- Abbasgholizadeh Rahimi S, Légaré F, Sharma G, Archambault P, Zomahoun H, Chandavong S, Rheault N, T Wong S, Langlois L, Couturier Y, Salmeron J, Gagnon M, Légaré J. Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal. Journal of Medical Internet Research 2021;23(9):e29839 View
- Penrice D, Rattan P, Simonetto D. Artificial Intelligence and the Future of Gastroenterology and Hepatology. Gastro Hep Advances 2022;1(4):581 View
- Shaw J. Emerging Paradigms for Ethical Review of Research Using Artificial Intelligence. The American Journal of Bioethics 2022;22(5):42 View
- Costa-Climent R, Haftor D, Staniewski M. Using machine learning to create and capture value in the business models of small and medium-sized enterprises. International Journal of Information Management 2023;73:102637 View
- Siala H, Wang Y. SHIFTing artificial intelligence to be responsible in healthcare: A systematic review. Social Science & Medicine 2022;296:114782 View
- Брызгалина Е. DIGITAL BIOETHICS AS DIGITAL HEALTH ETHICS. ΠΡΑΞΗMΑ. Journal of Visual Semiotics 2023;(1(35)):9 View
- Bélisle-Pipon J, Couture V, Roy M, Ganache I, Goetghebeur M, Cohen I. What Makes Artificial Intelligence Exceptional in Health Technology Assessment?. Frontiers in Artificial Intelligence 2021;4 View
- Nedadur R, Wang B, Tsang W. Artificial intelligence for the echocardiographic assessment of valvular heart disease. Heart 2022;108(20):1592 View
- Petersson L, Larsson I, Nygren J, Nilsen P, Neher M, Reed J, Tyskbo D, Svedberg P. Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden. BMC Health Services Research 2022;22(1) View
- Weinert L, Klass M, Schneider G, Heinze O. Exploring Stakeholder Requirements to Enable Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Results of a Multistep Mixed Methods Study. JMIR Formative Research 2023;7:e43958 View
- Costa-Climent R. The Role of Machine Learning in Creating and Capturing Value. International Journal of Software Science and Computational Intelligence 2022;14(1):1 View
- Wang Y, Zhang N, Zhao X. Understanding the Determinants in the Different Government AI Adoption Stages: Evidence of Local Government Chatbots in China. Social Science Computer Review 2022;40(2):534 View
- Li R, Li H. Artificial intelligence will be a milestone in medical imaging development. Radiology of Infectious Diseases 2022;9(3):96 View
- Shan Y, Ji M, Xie W, Lam K, Chow C. Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis. JMIR Human Factors 2022;9(4):e38799 View
- Svedberg P, Reed J, Nilsen P, Barlow J, Macrae C, Nygren J. Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program. JMIR Research Protocols 2022;11(3):e34920 View
- Kossowsky H, Nisky I. Predicting the Timing of Camera Movements From the Kinematics of Instruments in Robotic-Assisted Surgery Using Artificial Neural Networks. IEEE Transactions on Medical Robotics and Bionics 2022;4(2):391 View
- Wu Y, Wang H, Zhu J. Influence of Reclaimed Water Quality on Infiltration Characteristics of Typical Subtropical Zone Soils: A Case Study in South China. Sustainability 2022;14(8):4390 View
- Joshi S, Sharma M, Das R, Rosak-Szyrocka J, Żywiołek J, Muduli K, Prasad M. Modeling Conceptual Framework for Implementing Barriers of AI in Public Healthcare for Improving Operational Excellence: Experiences from Developing Countries. Sustainability 2022;14(18):11698 View
- Nilsen P, Reed J, Nair M, Savage C, Macrae C, Barlow J, Svedberg P, Larsson I, Lundgren L, Nygren J. Realizing the potential of artificial intelligence in healthcare: Learning from intervention, innovation, implementation and improvement sciences. Frontiers in Health Services 2022;2 View
- Harish V, Samson T, Diemert L, Tuite A, Mamdani M, Khan K, McGahan A, Shaw J, Das S, Rosella L, Ansermino J. Governing partnerships with technology companies as part of the COVID-19 response in Canada: A qualitative case study. PLOS Digital Health 2022;1(12):e0000164 View
- Bélisle-Pipon J, David P. Digital Therapies (DTx) as New Tools within Physicians’ Therapeutic Arsenal: Key Observations to Support their Effective and Responsible Development and Use. Pharmaceutical Medicine 2023;37(2):121 View
- Farina E, Nabhen J, Dacoregio M, Batalini F, Moraes F. An Overview of Artificial Intelligence in Oncology. Future Science OA 2022;8(4) View
- Liu P, Inman J, Li B, Wong C, Yang N. Consumer Health in the Digital Age. Journal of the Association for Consumer Research 2022;7(2):198 View
- Basu P, Carvalho A, Almonte M, Chajès V, Weiderpass E. Pulling the investment levers on implementation research in oncology. The Lancet Oncology 2022;23(4):451 View
- Khan M, Wang S, Wang J, Ahmar S, Saeed S, Khan S, Xu X, Chen H, Bhat J, Feng X. Applications of Artificial Intelligence in Climate-Resilient Smart-Crop Breeding. International Journal of Molecular Sciences 2022;23(19):11156 View
- Chen J, Baxter S, van den Brandt A, Lieu A, Camp A, Do J, Welsbie D, Moghimi S, Christopher M, Weinreb R, Zangwill L. Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression. Journal of Glaucoma 2023;32(3):151 View
- Lu S, Knafl M, Turin A, Offodile A, Ravi V, Sidey-Gibbons C. Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients. JCO Clinical Cancer Informatics 2023;(7) View
- Jahandideh S, Ozavci G, Sahle B, Kouzani A, Magrabi F, Bucknall T. Evaluation of machine learning-based models for prediction of clinical deterioration: A systematic literature review. International Journal of Medical Informatics 2023;175:105084 View
- Hehakaya C, Moors E. Institutionalisation of convergent medical innovation: an empirical study of the MRI-guided linear accelerator in the Netherlands and the United States. Innovation 2023:1 View
- van der Vegt A, Scott I, Dermawan K, Schnetler R, Kalke V, Lane P. Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework. Journal of the American Medical Informatics Association 2023;30(9):1503 View
- Levy J, Chan N, Marotti J, Kerr D, Gutmann E, Glass R, Dodge C, Suriawinata A, Christensen B, Liu X, Vaickus L. Large‐scale validation study of an improved semiautonomous urine cytology assessment tool: AutoParis‐X. Cancer Cytopathology 2023;131(10):637 View
- Fisher E, Flynn M, Pratap P, Vietas J. Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review. International Journal of Environmental Research and Public Health 2023;20(13):6221 View
- Cresswell K, Rigby M, Magrabi F, Scott P, Brender J, Craven C, Wong Z, Kukhareva P, Ammenwerth E, Georgiou A, Medlock S, De Keizer N, Nykänen P, Prgomet M, Williams R. The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision. Health Policy 2023;136:104889 View
- Gottlich H, Korfiatis P, Gregory A, Kline T. AI in the Loop: functionalizing fold performance disagreement to monitor automated medical image segmentation workflows. Frontiers in Radiology 2023;3 View
- Gyldenkærne C, Hansen J, Hertzum M, Mønsted T. Innovation tactics for implementing an ML application in healthcare: A long and winding road. International Journal of Human-Computer Studies 2024;181:103162 View
- Drazen J, Kohane I, Leong T, Sahni N, Carrus B. Artificial Intelligence in U.S. Health Care Delivery. New England Journal of Medicine 2023;389(4):348 View
- Akhlaghi H, Freeman S, Vari C, McKenna B, Braitberg G, Karro J, Tahayori B. Machine learning in clinical practice: Evaluation of an artificial intelligence tool after implementation. Emergency Medicine Australasia 2024;36(1):118 View
- Olawade D, Wada O, David-Olawade A, Kunonga E, Abaire O, Ling J. Using artificial intelligence to improve public health: a narrative review. Frontiers in Public Health 2023;11 View
- Akinrinmade A, Adebile T, Ezuma-Ebong C, Bolaji K, Ajufo A, Adigun A, Mohammad M, Dike J, Okobi O. Artificial Intelligence in Healthcare: Perception and Reality. Cureus 2023 View
- Vo V, Chen G, Aquino Y, Carter S, Do Q, Woode M. Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis. Social Science & Medicine 2023;338:116357 View
- Lentejas M, De la Cruz C, Furto N, Vigonte F, Abante M. Artificial Intelligence (AI) Application in Government Department Hybrid Work Environment: A Holistic Study and Policy Implications (IMRAD). SSRN Electronic Journal 2023 View
- Sahadevan S. Project Management in the Era of Artificial Intelligence. European Journal of Theoretical and Applied Sciences 2023;1(3):349 View
- Singh Y, Shah D, Maheshwari D, Shah J, Shah S. Advances in AI-Driven Retention Prediction for Different Chromatographic Techniques: Unraveling the Complexity. Critical Reviews in Analytical Chemistry 2023:1 View
- Nilsen P, Svedberg P, Neher M, Nair M, Larsson I, Petersson L, Nygren J. A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project. JMIR Research Protocols 2023;12:e50216 View
- Zhang X, Gu Y, Yin J, Zhang Y, Jin C, Wang W, Li A, Wang Y, Su L, Xu H, Ge X, Ye C, Tang L, Shen B, Fang J, Wang D, Feng R. Development, Reliability, and Structural Validity of the Scale for Knowledge, Attitude, and Practice in Ethics Implementation Among AI Researchers: Cross-Sectional Study. JMIR Formative Research 2023;7:e42202 View
- Kloka J, Holtmann S, Nürenberg-Goloub E, Piekarski F, Zacharowski K, Friedrichson B. Expectations of Anesthesiology and Intensive Care Professionals Toward Artificial Intelligence: Observational Study. JMIR Formative Research 2023;7:e43896 View
- Affia A, Finch H, Jung W, Samori I, Potter L, Palmer X. IoT Health Devices: Exploring Security Risks in the Connected Landscape. IoT 2023;4(2):150 View
- Li L, Haley L, Boyd A, Bernstam E. Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review. Journal of Biomedical Informatics 2023;147:104531 View
- Singh Y, Shah D, Kulkarni M, Patel S, Maheshwari D, Shah J, Shah S. Current trends in chromatographic prediction using artificial intelligence and machine learning. Analytical Methods 2023;15(23):2785 View
- Garcia-Lopez A, Girón-Luque F, Rosselli D. La integración de la inteligencia artificial en la atención médica: desafíos éticos y de implementación. Universitas Médica 2023;64(3) View
- Wieben A, Walden R, Alreshidi B, Brown S, Cato K, Coviak C, Cruz C, D'Agostino F, Douthit B, Forbes T, Gao G, Johnson S, Lee M, Mullen-Fortino M, Park J, Park S, Pruinelli L, Reger A, Role J, Sileo M, Schultz M, Vyas P, Jeffery A. Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. Applied Clinical Informatics 2023;14(03):585 View
- Neher M, Petersson L, Nygren J, Svedberg P, Larsson I, Nilsen P. Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden. Implementation Science Communications 2023;4(1) View
- Zhang B, Shi H, Wang H. Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach. Journal of Multidisciplinary Healthcare 2023;Volume 16:1779 View
- Pedro A, Dias M, Laranjo L, Cunha A, Cordeiro J, Adebisi J. Artificial intelligence in medicine: A comprehensive survey of medical doctor’s perspectives in Portugal. PLOS ONE 2023;18(9):e0290613 View
- Ardito V, Cappellaro G, Compagni A, Petracca F, Preti L. Implementation of Machine Learning Applications in Health Care Organizations: Protocol for a Systematic Review of Empirical Studies. JMIR Research Protocols 2023;12:e47971 View
- Zhou T, Luo Y, Li J, Zhang H, Meng Z, Xiong W, Zhang J. Application of Artificial Intelligence in Oncology Nursing. Cancer Nursing 2023;Publish Ahead of Print View
- Fuller G, Hasan M, Hodkinson P, McAlpine D, Goodacre S, Bath P, Sbaffi L, Omer Y, Wallis L, Marincowitz C, Yoon D. Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting. PLOS Digital Health 2023;2(9):e0000309 View
- Christie L, Sala A, Cameron J, Conn J, Palmer D, McGeown W, Cannon J, Sharp J, Baker M. Rapid detection of heart failure using a spectroscopic liquid biopsy. Clinical Spectroscopy 2023;5:100029 View
- Costa Climent R. Maximización de los beneficios del aprendizaje automático. ESIC Digital Economy and Innovation Journal 2023;2:e062 View
- Park M, Oh N, Jung Y. Digital Twins in Healthcare and Their Applicability in Rhinology: A Narrative Review. Journal of Rhinology 2023;30(2):80 View
- Kale A, Nguyen T, Harris F, Li C, Zhang J, Ma X. Provenance documentation to enable explainable and trustworthy AI: A literature review. Data Intelligence 2023;5(1):139 View
- Delshad M, Omrani M, Pourbagheri-Sigaroodi A, Bashash D. Oncology in the modern era: Artificial Intelligence is reshaping cancer diagnosis, prognosis and treatment. Iranian Journal of Blood and Cancer 2023;15(3):13 View
- Gillner S. We're implementing AI now, so why not ask us what to do? – How AI providers perceive and navigate the spread of diagnostic AI in complex healthcare systems. Social Science & Medicine 2024;340:116442 View
- Costa-Climent R, Navarrete S, Haftor D, Staniewski M. Value creation and appropriation from the use of machine learning: a study of start-ups using fuzzy-set qualitative comparative analysis. International Entrepreneurship and Management Journal 2024;20(2):935 View
- Lämmermann L, Hofmann P, Urbach N. Managing artificial intelligence applications in healthcare: Promoting information processing among stakeholders. International Journal of Information Management 2024;75:102728 View
- Xin W. RETRACTED ARTICLE: Application of intelligent trajectory analysis based on new spectral imaging technology in basketball match motion recognition. Optical and Quantum Electronics 2024;56(3) View
- Li X, Liao J, Chen M, Gao K, Wang Y, Yan S, Huang Q, Wang Y, Shi Y, Hu W, Jin Y. The Application of Computer Technology to Clinical Practice Guideline Implementation: A Scoping Review. Journal of Medical Systems 2023;48(1) View
- He D, Wang R, Xu Z, Wang J, Song P, Wang H, Su J. The use of artificial intelligence in the treatment of rare diseases: A scoping review. Intractable & Rare Diseases Research 2024;13(1):12 View
- Dey A. ChatGPT in Diabetes Care: An Overview of the Evolution and Potential of Generative Artificial Intelligence Model Like ChatGPT in Augmenting Clinical and Patient Outcomes in the Management of Diabetes. International Journal of Diabetes and Technology 2023;2(2):66 View
- Townsend D, Hunt R, Rady J, Manocha P, Jin J. Are the Futures Computable? Knightian Uncertainty and Artificial Intelligence. Academy of Management Review 2024 View
- Hummel P, Braun M, Bischoff S, Samhammer D, Seitz K, Fasching P, Dabrock P. Perspectives of patients and clinicians on big data and AI in health: a comparative empirical investigation. AI & SOCIETY 2024 View
- Wickramasinghe N, Jayaraman P, Forkan A, Ulapane N, Kaul R, Vaughan S, Zelcer J. A Vision for Leveraging the Concept of Digital Twins to Support the Provision of Personalized Cancer Care. IEEE Internet Computing 2022;26(5):17 View
- Liu F, Hang X. RETRACTED ARTICLE: Design of artificial intelligence volleyball teaching intelligent assistant system based on artificial muscle integrated optical equipment. Optical and Quantum Electronics 2024;56(3) View
- Sideris K, Weir C, Schmalfuss C, Hanson H, Pipke M, Tseng P, Lewis N, Sallam K, Bozkurt B, Hanff T, Schofield R, Larimer K, Kyriakopoulos C, Taleb I, Brinker L, Curry T, Knecht C, Butler J, Stehlik J. Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial. Journal of the American Medical Informatics Association 2024;31(4):919 View
- Naser M, Majeed A, Alsabah M, Al-Shaikhli T, Kaky K. A Review of Machine Learning’s Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges. Algorithms 2024;17(2):78 View
- Kotte B, A N, V S, Hema Lingireddy , K V G, Abhijeet Mudhale , B G, E A. Artificial intelligence (AI) and its applications in agriculture: A Review. Environment Conservation Journal 2024;25(1):274 View
- Younas A, Reynolds S. Leveraging Artificial Intelligence for Expediting Implementation Efforts. Creative Nursing 2024;30(2):111 View
- Claggett J, Petter S, Joshi A, Ponzio T, Kirkendall E. An Infrastructure Framework for Remote Patient Monitoring Interventions and Research. Journal of Medical Internet Research 2024;26:e51234 View
- Lakkimsetti M, Devella S, Patel K, Dhandibhotla S, Kaur J, Mathew M, Kataria J, Nallani M, Farwa U, Patel T, Egbujo U, Meenashi Sundaram D, Kenawy S, Roy M, Khan S. Optimizing the Clinical Direction of Artificial Intelligence With Health Policy: A Narrative Review of the Literature. Cureus 2024 View
- Mamo Y, Crompton H, Burke D, Nickel C. Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors: A Sentiment Analysis of X. TechTrends 2024;68(3):520 View
- Messelink M, Fadaei S, Verhoef L, Welsing P, Nijhof N, Westland H. Rheumatoid arthritis patients’ perspective on the use of prediction models in clinical decision-making. Rheumatology 2024 View
- Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality. SSRN Electronic Journal 2024 View
- Newlands R, Bruhn H, Díaz M, Lip G, Anderson L, Ramsay C. A stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study): a qualitative study using the WHO guide. BMC Health Services Research 2024;24(1) View
- Rane N, Paramesha M, Choudhary S, Rane J. Artificial Intelligence, Machine Learning, and Deep Learning for Advanced Business Strategies: a Review. SSRN Electronic Journal 2024 View
- Bienefeld N, Keller E, Grote G. Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists’ and Clinicians’ Perspectives on AI Augmentation and Automation. Journal of Medical Internet Research 2024;26:e50130 View
- Hussain W, Mabrok M, Gao H, Rabhi F, Rashed E. Revolutionising healthcare with artificial intelligence: A bibliometric analysis of 40 years of progress in health systems. DIGITAL HEALTH 2024;10 View
- Alami H, Lehoux P, Papoutsi C, Shaw S, Fleet R, Fortin J. Understanding the integration of artificial intelligence in healthcare organisations and systems through the NASSS framework: a qualitative study in a leading Canadian academic centre. BMC Health Services Research 2024;24(1) View
- Park Y, Park S, Lee M. Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review. Journal of Affective Disorders 2024;361:445 View
- Hassan M, Kushniruk A, Borycki E. Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review. JMIR Human Factors 2024;11:e48633 View
- Delpino F, Costa Â, César do Nascimento M, Dias Moura H, Geremias dos Santos H, Wichmann R, Porto Chiavegatto Filho A, Arcêncio R, Nunes B. Does machine learning have a high performance to predict obesity among adults and older adults? A systematic review and meta-analysis. Nutrition, Metabolism and Cardiovascular Diseases 2024;34(9):2034 View
- Rajagopal A, Ayanian S, Ryu A, Qian R, Legler S, Peeler E, Issa M, Coons T, Kawamoto K. Machine Learning Operations in Health Care: A Scoping Review. Mayo Clinic Proceedings: Digital Health 2024;2(3):421 View
- Siira E, Tyskbo D, Nygren J. Healthcare leaders’ experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study. BMC Primary Care 2024;25(1) View
- Bélisle-Pipon J, Powell M, English R, Malo M, Ravitsky V, Bensoussan Y. Stakeholder perspectives on ethical and trustworthy voice AI in health care. DIGITAL HEALTH 2024;10 View
- Javed N, Paradkar P, Bhatti A. An overview of technologies available to monitor behaviours of mosquitoes. Acta Tropica 2024;258:107347 View
- Tyskbo D, Nygren J. Reconfiguration of uncertainty: Introducing AI for prediction of mortality at the emergency department. Social Science & Medicine 2024;359:117298 View
- Mooghali M, Stroud A, Yoo D, Barry B, Grimshaw A, Ross J, Zhu X, Miller J. Trustworthy and ethical AI-enabled cardiovascular care: a rapid review. BMC Medical Informatics and Decision Making 2024;24(1) View
- Rakers M, van Buchem M, Kucenko S, de Hond A, Kant I, van Smeden M, Moons K, Leeuwenberg A, Chavannes N, Villalobos-Quesada M, van Os H. Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care. JAMA Network Open 2024;7(9):e2432990 View
- Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality. Minds and Machines 2024;34(4) View
- Dixit A, Jatav S. Evolving needs of learners and role of artificial intelligence (AI) in training and development (T&D): T&D professionals' perspective. Journal of Management Development 2024 View
- N A, Chowdhury R, L P, Peter R, VV A. Perception of the Adoption of Artificial Intelligence in Healthcare Practices Among Healthcare Professionals in a Tertiary Care Hospital: A Cross-Sectional Study. Cureus 2024 View
- Chen J, Ma B, Hu M, Zhai G, Sun W, Yang S. Objective Bi-Modal Assessment of Knee Osteoarthritis Severity Grades: Model and Mechanism. IEEE Transactions on Instrumentation and Measurement 2024;73:1 View
Books/Policy Documents
- Ulapane N, Wickramasinghe N. Optimizing Health Monitoring Systems With Wireless Technology. View
- Samori I, Palmer X, Potter L, Karahan S. Intelligent Systems and Applications. View
- Mohamad I, Hughes L, Dwivedi Y, Alalwan A. The Role of Digital Technologies in Shaping the Post-Pandemic World. View
- Ulapane N, Wickramasinghe N. Digital Disruption in Health Care. View
- Doguc O. Handbook of Research on Consumer Behavioral Analytics in Metaverse and the Adoption of a Virtual World. View
- Hayes C. Creative AI Tools and Ethical Implications in Teaching and Learning. View
- Wang Y, Zhao C, Liu W, Liu X. Proceedings of 2023 Chinese Intelligent Systems Conference. View
- Mahlangu Z, Leke C. Towards Digitally Transforming Accounting and Business Processes. View
- Ho K, Park S, Lai M, Krakovsky S. Artificial Intelligence in Medicine. View
- Hayes C. Exploring the Ethical Implications of Generative AI. View
- Singh V. Artificial Intelligence and Machine Learning for Women’s Health Issues. View
- Wojda T, Hoffman C, Kindler K, Desai A, Visweswaran S. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 2 [Working Title]. View
- Yadav A, Shree B, Lakhwani D, Singh A. Integrative Omics. View
- Toumia O, Zouari F. AI Innovation in Services Marketing. View
- Ahmed K, Chandra Das B, Saadati Y, Amini M. Distributed Machine Learning and Computing. View
- Hayes C. Enhancing Higher Education and Research With OpenAI Models. View
- Asare-Werehene M, Tsuyoshi H, Lee E, Chiu K, Ngu S, Ngan H, Chan K, Yoshida Y, Tsang B. Peritoneal Tumor Microenvironment of Cancers on Cancer Hallmarks. View
- Widmer S, Angerer A. Technologien und Technologiemanagement im Gesundheitswesen. View
- Singh K, Singh S, Wadhwa S, Baghel D. Integrating AI-Driven Technologies Into Service Marketing. View