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

Systematic Review Protocols (336) Artificial Intelligence (2154) Decision Support for Health Professionals (1551) Clinical Information and Decision Making (1930)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37685, first published .
The Need to Prioritize Model-Updating Processes in Clinical Artificial Intelligence (AI) Models: Protocol for a Scoping Review

The Need to Prioritize Model-Updating Processes in Clinical Artificial Intelligence (AI) Models: Protocol for a Scoping Review

The Need to Prioritize Model-Updating Processes in Clinical Artificial Intelligence (AI) Models: Protocol for a Scoping Review

Authors of this article:

Ahmed Umar Otokiti1 Author Orcid Image ;   Makuochukwu Maryann Ozoude2 Author Orcid Image ;   Karmen S Williams3 Author Orcid Image ;   Rasheedat A Sadiq-onilenla4 Author Orcid Image ;   Soji Akin Ojo5 Author Orcid Image ;   Leyla B Wasarme6 Author Orcid Image ;   Samantha Walsh7 Author Orcid Image ;   Maxwell Edomwande8 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

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  8. Ditkofsky N, Tsai E, Ugas-Charcape C, Usuzaki T. The Global Reading Room: A Discrepancy Between Artificial Intelligence and the Radiologist for Pulmonary Embolus on CT Pulmonary Angiography. American Journal of Roentgenology 2025;225(2) View
  9. Duan L, Yao Z, Li X, Wu Y, Sheng D. Comparing large language models and human doctors in symptom-driven online medical consultations: A case study on trigeminal neuralgia. DIGITAL HEALTH 2025;11 View
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  11. Altememi M, Favaloro E, Islam M, Santhakumar A. Artificial intelligence and machine learning in thrombosis and hemostasis: a scoping review of clinical and laboratory applications, challenges, and future directions. Clinical Chemistry and Laboratory Medicine (CCLM) 2025 View

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Conference Proceedings

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