APPRAISE-AI Tool for Quantitative Evaluation of AI Studies for Clinical Decision Support.

ABSTRACT:

Importance

Artificial intelligence (AI) has gained considerable attention in health care, yet concerns have been raised around appropriate methods and fairness. Current AI reporting guidelines do not provide a means of quantifying overall quality of AI research, limiting their ability to compare models addressing the same clinical question.

Objective

To develop a tool (APPRAISE-AI) to evaluate the methodological and reporting quality of AI prediction models for clinical decision support.

Design, setting, and participants

This quality improvement study evaluated AI studies in the model development, silent, and clinical trial phases using the APPRAISE-AI tool, a quantitative method for evaluating quality of AI studies across 6 domains: clinical relevance, data quality,

SUBMITTER: Kwong JCC 

PROVIDER: S-EPMC10520738 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature