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

Systematic Review Protocols (268) Artificial Intelligence (1388) Decision Support for Health Professionals (1193) Clinical Information and Decision Making (1415)

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 (6) Tweetations (2) Metrics

Journals

  1. El-Sherbini A, Coroneos S, Zidan A, Othman M. Machine Learning as a Diagnostic and Prognostic Tool for Predicting Thrombosis in Cancer Patients: A Systematic Review. Seminars in Thrombosis and Hemostasis 2024;50(06):809 View
  2. Balagopalan A, Baldini I, Celi L, Gichoya J, McCoy L, Naumann T, Shalit U, van der Schaar M, Wagstaff K, Badawi O. Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact. PLOS Digital Health 2024;3(4):e0000474 View
  3. Wiens M, Nguyen V, Bone J, Kumbakumba E, Businge S, Tagoola A, Sherine S, Byaruhanga E, Ssemwanga E, Barigye C, Nsungwa J, Olaro C, Ansermino J, Kissoon N, Singer J, Larson C, Lavoie P, Dunsmuir D, Moschovis P, Novakowski S, Komugisha C, Tayebwa M, Mwesigwa D, Knappett M, West N, Mugisha N, Kabakyenga J, Asweto C. Prediction models for post-discharge mortality among under-five children with suspected sepsis in Uganda: A multicohort analysis. PLOS Global Public Health 2024;4(4):e0003050 View
  4. Kuo Z, Chen K, Tseng Y. MoCab: A framework for the deployment of machine learning models across health information systems. Computer Methods and Programs in Biomedicine 2024;255:108336 View
  5. Dorosan M, Chen Y, Zhuang Q, Lam S. In silico evaluation of algorithm-based clinical decision support systems: Protocol for a scoping review (Preprint). JMIR Research Protocols 2024 View