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

Scoping Review Protocols (591) Cost-Effectiveness and Economics (525) Artificial Intelligence (5085) Research Methodology - AI (213) Responsible Health AI (271)

Published on in Vol 14 (2025)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77494, first published .
Doctor interacting with holographic heart and health data on screen

Machine Learning in Health Economic Evaluations: Protocol for a Scoping Review

Machine Learning in Health Economic Evaluations: Protocol for a Scoping Review

Authors of this article:

Hanan Daghash1, 2 Author Orcid Image ;   Ashleigh Kernohan1 Author Orcid Image ;   Rosiered Brownson-Smith2 Author Orcid Image ;   Rohan Pandey1 Author Orcid Image ;   Ananya Ananthakrishnan2 Author Orcid Image ;   Cen Cong2 Author Orcid Image ;   Victoria Riccalton2 Author Orcid Image ;   Edward Meinert2, 3 Author Orcid Image ;   Gurdeep S Sagoo1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Baser O. Faster but Not Truer, Part 1: A Systematic Scoping Review of Artificial Intelligence in Health Economics and Outcomes Research. Journal of Health Economics and Outcomes Research 2026:148 View
  2. Baser O. Faster but Not Truer, Part 1: A Systematic Scoping Review of Artificial Intelligence in Health Economics and Outcomes Research. Journal of Health Economics and Outcomes Research 2026;13(2) View