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

Applications of AI (80) Artificial Intelligence (1371)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48295, first published .
Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study

Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study

Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study

Authors of this article:

Joshua A Young1 Author Orcid Image ;   Chin-Wen Chang2 Author Orcid Image ;   Charles W Scales3 Author Orcid Image ;   Saurabh V Menon4 Author Orcid Image ;   Chantal E Holy5 Author Orcid Image ;   Caroline Adrienne Blackie6 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Yılmaz İ. The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane?. Experimental and Applied Medical Science 2024 View
  2. Mohammad N, Rajab I, Al-Taie R, Ismail M. Machine Learning and Vision: Advancing the Frontiers of Diabetic Cataract Management. Cureus 2024 View