The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation
The clinician-AI interface is part of intended use, not merely a user-interface detail.
What the paper explores
The authors curated information on FDA-cleared AI devices for medical image interpretation, focusing on intended clinical use, the outputs presented to clinicians and the explanations provided. The resulting landscape shows variation in workflow roles, including triage, and in the information available to support interpretation.
How to interpret the evidence
This is a description of a historical device landscape. The presence of an explanation feature does not demonstrate that the explanation improves decisions or patient outcomes.
Questions for MedTech teams
Evaluate how users act on the output. Workflow integration, reliance, error handling and interpretability should be considered alongside model discrimination.
Sources & further reading
Read original paperDOI: 10.1038/s41746-024-01080-1
Bibliographic record and abstract on PubMedThis is a short editorial reading note on external research. The original research is attributed to its authors and does not represent an HMC study, product validation or regulatory determination.

