What are the key factors to consider when critically appraising machine learning algorithms used in clinical decision support systems?

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Tripdatabase
DOI: 10.5281/zenodo.18257044
Cited by: 0

Abstract

Key factors for appraising machine learning algorithms in clinical decision support systems include validation, transparency, clinical integration, interdisciplinary collaboration, and adherence to ethical standards.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare Machine Learning in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026