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

Systematic Review Protocols (335) Decision Support for Health Professionals (1539) Safety and Error Prevention in Health (240) Digital Health Reviews (1724) New Technologies (108) mHealth in a Clinical Setting (743) Computer-Aided Diagnosis (251) Medical Device Adverse Events, Errors, Safety (21)

Published on in Vol 13 (2024)

This is a member publication of University of Birmingham (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51614, first published .
Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic Review

Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic Review

Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic Review

Authors of this article:

Aditya U Kale1, 2, 3, 4 Author Orcid Image ;   Henry David Jeffry Hogg5 Author Orcid Image ;   Russell Pearson6 Author Orcid Image ;   Ben Glocker7, 8 Author Orcid Image ;   Su Golder9 Author Orcid Image ;   April Coombe10 Author Orcid Image ;   Justin Waring11 Author Orcid Image ;   Xiaoxuan Liu1, 2, 3, 4 Author Orcid Image ;   David J Moore10 Author Orcid Image ;   Alastair K Denniston1, 2, 3, 4 Author Orcid Image
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Journals

  1. Dooley K, Morimoto M, Kaszuba P, Krasne M, Liu G, Fuchs E, Rexelius P, Swan J, Krawiec K, Hammond K, Ray S, Hafen R, Schuh A, Jumbe N. Evidence Generation for a Host-Response Biosignature of Respiratory Disease. Viruses 2025;17(7):943 View