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

Foundations of AI (91) Clinical Informatics (2330) Tools, Programs and Algorithms (595) Decision Support for Health Professionals (2285) Electronic Health Records (1753) Ontologies, Classifications, and Coding (456) Machine Learning (3263) Development and Evaluation of Research Methods, Instruments and Tools (1361)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64279, first published .
Doctor in white coat and gloves consults with patient in a bright clinic office.

Deep Learning Models to Predict Diagnostic and Billing Codes Following Visits to a Family Medicine Practice: Development and Validation Study

Deep Learning Models to Predict Diagnostic and Billing Codes Following Visits to a Family Medicine Practice: Development and Validation Study

Authors of this article:

Akshay Rajaram1, 2 Author Orcid Image ;   Michael Judd1 Author Orcid Image ;   David Barber1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

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  1. MacKenzie J, Coric C, Kim Y, Lee C, Grant-Kels J. Current applications of artificial intelligence in dermatology offices and potential ethical landmines. Clinics in Dermatology 2025;43(5):732 View
  2. Khan N, Cleland K, Filkov V, Goldman R. Intelligent documentation in medical education: can AI replace manual case logging?. JAMIA Open 2026;9(3) View
  3. Arias J, O'Beirne E, Spencer Gardner L, Rizk P, Aziz K, Sherman C, Springer B. Effect of Ambient Listening Technology on E&M Codes in Orthopaedic Surgery. Journal of the American Academy of Orthopaedic Surgeons 2026 View
  4. Syed M, Alnuaimi A, El Kaissi D, Syed M, Al-Nawafleh A. Preparing for the future: A mixed methods study protocol on AI awareness and educational integration in Qatar’s Primary Health Care Workforce. PLOS One 2026;21(9):e0345347 View