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

Viewpoints and Perspectives (425) Demographics of Users, Social & Digital Divide (587)

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

Bridging the Health Data Divide

Bridging the Health Data Divide

Bridging the Health Data Divide

Authors of this article:

Leo Anthony Celi 1 Author Orcid Image ;   Guido Davidzon 1 Author Orcid Image ;   Alistair EW Johnson 1 Author Orcid Image ;   Matthieu Komorowski 1 Author Orcid Image ;   Dominic C Marshall 1 Author Orcid Image ;   Sunil S Nair 1 Author Orcid Image ;   Colin T Phillips 1 Author Orcid Image ;   Tom J Pollard 1 Author Orcid Image ;   Jesse D Raffa 1 Author Orcid Image ;   Justin D Salciccioli 1 Author Orcid Image ;   Francisco Muge Salgueiro 1 Author Orcid Image ;   David J Stone 1 Author Orcid Image
Article Authors Cited by (24) Tweetations (35) Metrics

Journals

  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 View
  2. Sheon A, Bolen S, Callahan B, Shick S, Perzynski A. Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use. JMIR Diabetes 2017;2(2):e16 View
  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 View
  4. Delvaux N, Aertgeerts B, van Bussel J, 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 View
  5. Sakib N, Ahamed S, Khan R, Griffin P, Haque M. 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 View
  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 View
  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 View
  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 View
  9. Cosgriff C, Celi L, Stone D. Critical Care, Critical Data. Biomedical Engineering and Computational Biology 2019;10:117959721985656 View
  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 View
  11. Pucchio A, Eisenhauer E, Moraes F. Medical students need artificial intelligence and machine learning training. Nature Biotechnology 2021;39(3):388 View
  12. Aggarwal R, Sounderajah V, Martin G, Ting D, 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) View
  13. Sakib N, Tian S, Haque M, Khan R, Ahamed S. SepINav (Sepsis ICU Navigator): A data-driven software tool for sepsis monitoring and intervention using Bayesian Online Change Point Detection. SoftwareX 2021;14:100689 View
  14. Ishii-Rousseau J, Seino S, Ebner D, Vareth M, Po M, Celi L, Simsekler M. The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI). PLOS Digital Health 2022;1(2):e0000011 View
  15. Pucchio A, Papa J, de Moraes F. Artificial intelligence in the medical profession: ready or not, here AI comes. Clinics 2022;77:100010 View
  16. Iqbal U, Dagan A, Syed-Abdul S, Celi L, Malwade S, Hsu M, Li Y. A hackathon promoting Taiwanese health-IoT innovation. Computer Methods and Programs in Biomedicine 2018;163:29 View
  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 View
  18. Pucchio A, Rathagirishnan R, Caton N, Gariscsak P, Del Papa J, Nabhen J, Vo V, Lee W, Moraes F. Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study. BMC Medical Education 2022;22(1) View
  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 View
  20. Quazi S, Saha R, Singh M. Applications of Artificial Intelligence in Healthcare. Journal of Experimental Biology and Agricultural Sciences 2022;10(1):211 View
  21. Eckert C. Beyond the Spreadsheet. Surgical Clinics of North America 2023;103(2):335 View

Books/Policy Documents

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