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

Viewpoints and Perspectives (484) Demographics of Users, Social & Digital Divide (679)

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 Celi1 Author Orcid Image ;   Guido Davidzon1 Author Orcid Image ;   Alistair EW Johnson1 Author Orcid Image ;   Matthieu Komorowski1 Author Orcid Image ;   Dominic C Marshall1 Author Orcid Image ;   Sunil S Nair1 Author Orcid Image ;   Colin T Phillips1 Author Orcid Image ;   Tom J Pollard1 Author Orcid Image ;   Jesse D Raffa1 Author Orcid Image ;   Justin D Salciccioli1 Author Orcid Image ;   Francisco Muge Salgueiro1 Author Orcid Image ;   David J Stone1 Author Orcid Image
Article Authors Cited by (29) Tweetations (34) Metrics

Journals

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  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
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  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
  22. Iqbal J, Cortés Jaimes D, Makineni P, Subramani S, Hemaida S, Thugu T, Butt A, Sikto J, Kaur P, Lak M, Augustine M, Shahzad R, Arain M. Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine. Cureus 2023 View
  23. Potter T, Pratap S, Nicolas J, Khan O, Pan A, Bako A, Hsu E, Johnson C, Jefferson I, Adegbindin S, Baig E, Kelly H, Jones S, Britz G, Tannous J, Vahidy F. A Neuro-Informatics Pipeline for Cerebrovascular Disease: Research Registry Development. JMIR Formative Research 2023;7:e40639 View
  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 View
  25. Jebreen K, Radwan E, Kammoun-Rebai W, Alattar E, Radwan A, Safi W, Radwan W, Alajez M. Perceptions of undergraduate medical students on artificial intelligence in medicine: mixed-methods survey study from Palestine. BMC Medical Education 2024;24(1) View
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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