Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
DECIDE-AI addresses the transition from promising computer-based results to early clinical evaluation.
What the paper explores
This consensus study developed reporting guidance for early clinical investigations of AI decision-support systems. It emphasizes clinical performance, safety and the human factors surrounding use, helping readers understand evaluations conducted before larger confirmatory trials.
How to interpret the evidence
An early clinical evaluation has a different purpose from a definitive trial. A reporting framework does not itself prove that an AI system improves care.
Questions for MedTech teams
Record how the system is introduced, who uses it, what changes during evaluation and which failures require attention. These details support interpretable evidence when the workflow is still evolving.
Sources & further reading
Read original paperDOI: 10.1038/s41591-022-01772-9
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.
