Published on 20.12.16 in Vol 18, No 12 (2016): December
Works citing "Bridging the Health Data Divide"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6400):
(note that this is only a small subset of citations)
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Morley J, Machado C, Burr C, Cowls J, Taddeo M, Floridi L. The Debate on the Ethics of AI in Health Care: a Reconstruction and Critical Review. SSRN Electronic Journal 2019;
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Sheon AR, Bolen SD, Callahan B, Shick S, Perzynski AT. Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use. JMIR Diabetes 2017;2(2):e16
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Khan A, Zubair S. Longitudinal Magnetic Resonance Imaging as a Potential Correlate in the Diagnosis of Alzheimer Disease: Exploratory Data Analysis. JMIR Biomedical Engineering 2020;5(1):e14389
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Delvaux N, Aertgeerts B, van Bussel JC, Goderis G, Vaes B, Vermandere M. Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation. JMIR Medical Informatics 2018;6(4):e11428
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Sakib N, Ahamed SI, Khan RA, Griffin PM, Haque MM. Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology. JMIR Medical Informatics 2020;8(12):e18352
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Fiske A, Prainsack B, Buyx A. Data Work: Meaning-Making in the Era of Data-Rich Medicine. Journal of Medical Internet Research 2019;21(7):e11672
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Gremyr A, Andersson Gäre B, Greenhalgh T, Malm U, Thor J, Andersson A. Using Complexity Assessment to Inform the Development and Deployment of a Digital Dashboard for Schizophrenia Care: Case Study. Journal of Medical Internet Research 2020;22(4):e15521
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Froud R, Fawkes C, Foss J, Underwood M, Carnes D. Responsiveness, Reliability, and Minimally Important and Minimal Detectable Changes of 3 Electronic Patient-Reported Outcome Measures for Low Back Pain: Validation Study. Journal of Medical Internet Research 2018;20(10):e272
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Cosgriff CV, Celi LA, Stone DJ. Critical Care, Critical Data. Biomedical Engineering and Computational Biology 2019;10:117959721985656
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Paranjape K, Schinkel M, Nannan Panday R, Car J, Nanayakkara P. Introducing Artificial Intelligence Training in Medical Education. JMIR Medical Education 2019;5(2):e16048
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Pucchio A, Eisenhauer EA, Moraes FY. Medical students need artificial intelligence and machine learning training. Nature Biotechnology 2021;39(3):388
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Aggarwal R, Sounderajah V, Martin G, Ting DSW, Karthikesalingam A, King D, Ashrafian H, Darzi A. Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis. npj Digital Medicine 2021;4(1)
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Sakib N, Tian S, Haque MM, Khan RA, Ahamed SI. SepINav (Sepsis ICU Navigator): A data-driven software tool for sepsis monitoring and intervention using Bayesian Online Change Point Detection. SoftwareX 2021;14:100689
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Ishii-Rousseau JE, Seino S, Ebner DK, Vareth M, Po MJ, Celi LA, Simsekler MCE. The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI). PLOS Digital Health 2022;1(2):e0000011
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Pucchio A, Papa JD, de Moraes FY. Artificial intelligence in the medical profession: ready or not, here AI comes. Clinics 2022;77:100010
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Iqbal U, Dagan A, Syed-Abdul S, Celi LA, Malwade S, Hsu M, Li Y. A hackathon promoting Taiwanese health-IoT innovation. Computer Methods and Programs in Biomedicine 2018;163:29
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Ishii E, Nawa N, Hashimoto S, Shigemitsu H, Fujiwara T. Development, validation, and feature extraction of a deep learning model predicting in-hospital mortality using Japan’s largest national ICU database: a validation framework for transparent clinical Artificial Intelligence (cAI) development. Anaesthesia Critical Care & Pain Medicine 2023;42(2):101167
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Pucchio A, Rathagirishnan R, Caton N, Gariscsak PJ, Del Papa J, Nabhen JJ, Vo V, Lee W, Moraes FY. Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study. BMC Medical Education 2022;22(1)
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Leng J, Wang D, Ma X, Yu P, Wei L, Chen W. Bi-level artificial intelligence model for risk classification of acute respiratory diseases based on Chinese clinical data. Applied Intelligence 2022;52(11):13114
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Quazi S, Saha RP, Singh MK. Applications of Artificial Intelligence in Healthcare. Journal of Experimental Biology and Agricultural Sciences 2022;10(1):211
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. Beyond the Spreadsheet. Surgical Clinics of North America 2023;103(2):335
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Iqbal J, Cortés Jaimes DC, Makineni P, Subramani S, Hemaida S, Thugu TR, Butt AN, Sikto JT, Kaur P, Lak MA, Augustine M, Shahzad R, Arain M. Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine. Cureus 2023;
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Potter TBH, Pratap S, Nicolas JC, Khan OS, Pan AP, Bako AT, Hsu E, Johnson C, Jefferson IN, Adegbindin SK, Baig E, Kelly HR, Jones SL, Britz GW, Tannous J, Vahidy FS. A Neuro-Informatics Pipeline for Cerebrovascular Disease: Research Registry Development. JMIR Formative Research 2023;7:e40639
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Minian N, Mehra K, Rose J, Veldhuizen S, Zawertailo L, Ratto M, Lecce J, Selby P. Cocreation of a conversational agent to help patients adhere to their varenicline treatment: A study protocol. DIGITAL HEALTH 2023;9
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6400):