DIGITAL HEALTH

The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation

Original source: The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation

Original source publication date:

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 paper

DOI: 10.1038/s41746-024-01080-1

Bibliographic record and abstract on PubMed

This 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.

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