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

Foundations of AI (57) Machine Learning (1971) Clinical Informatics (1257) Tools, Programs and Algorithms (358) Decision Support for Health Professionals (1468) Development and Evaluation of Research Methods, Instruments and Tools (698) Ontologies, Classifications, and Coding (309) Electronic Health Records (1271)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64279, first published .
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

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 (1) Tweetations Metrics

Journals

  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 View