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Citing this Article

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Published on 20.12.16 in Vol 18, No 12 (2016): December

This paper is in the following e-collection/theme issue:

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)

  1. 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;
    CrossRef
  2. 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
    CrossRef
  3. 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
    CrossRef
  4. 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
    CrossRef
  5. 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
    CrossRef
  6. 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
    CrossRef
  7. 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
    CrossRef
  8. 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
    CrossRef
  9. Cosgriff CV, Celi LA, Stone DJ. Critical Care, Critical Data. Biomedical Engineering and Computational Biology 2019;10:117959721985656
    CrossRef
  10. 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
    CrossRef
  11. Pucchio A, Eisenhauer EA, Moraes FY. Medical students need artificial intelligence and machine learning training. Nature Biotechnology 2021;39(3):388
    CrossRef
  12. 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)
    CrossRef
  13. 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
    CrossRef
  14. 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
    CrossRef
  15. Pucchio A, Papa JD, de Moraes FY. Artificial intelligence in the medical profession: ready or not, here AI comes. Clinics 2022;77:100010
    CrossRef
  16. 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
    CrossRef
  17. 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
    CrossRef
  18. 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)
    CrossRef
  19. 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
    CrossRef
  20. Quazi S, Saha RP, Singh MK. Applications of Artificial Intelligence in Healthcare. Journal of Experimental Biology and Agricultural Sciences 2022;10(1):211
    CrossRef
  21. . Beyond the Spreadsheet. Surgical Clinics of North America 2023;103(2):335
    CrossRef
  22. 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;
    CrossRef
  23. 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
    CrossRef
  24. 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6400):

  1. Kubassova O, Shaikh F, Melus C, Mahler M. Precision Medicine and Artificial Intelligence. 2021. :1
    CrossRef
  2. Morley J, Floridi L. The 2020 Yearbook of the Digital Ethics Lab. 2021. Chapter 8:69
    CrossRef