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Regulatory Approval Is Not Enough: Gaps in Trustworthy AI Reporting in FDA-Cleared Medical Devices

Source
arXiv — Computers and Society
Published
Last verified
14 Aug 2026
Confidence
High
Evidence
Original document retained
Reading time
1 min
Country
International
Relevant to
Research & Evidence, Policy & Regulation, Technology & Data

Executive summary

What happened, and why should leadership care?

Research indicates significant gaps in the publicly available regulatory documentation for AI/ML-enabled medical devices, specifically concerning the reporting of 'trustworthy AI' principles. An analysis of FDA summary reports for devices cleared between 2021 and 2025 found insufficient evidence to independently assess crucial dimensions of trustworthiness, despite the increasing integration of these systems into clinical decision-making.

Why this matters

Why is this strategically important?

The lack of comprehensive public reporting on AI trustworthiness in regulated medical devices poses a significant challenge to fostering confidence in these technologies. Addressing these transparency gaps is critical for maintaining public trust, ensuring patient safety, and facilitating the responsible adoption of AI in sensitive sectors.

Key insights

What should be noted from the evidence?

  • AI/ML-enabled medical devices are increasingly deployed in healthcare, operating within evolving regulatory frameworks.
  • There is a growing expectation for these systems to demonstrate 'trustworthy AI' dimensions to build confidence among clinicians, patients, and the public.
  • Analysis of FDA AI/ML-enabled medical device summary reports from 2021-2025 revealed that publicly available documentation often lacks sufficient evidence.
  • The identified gaps hinder the independent assessment of the trustworthiness of cleared AI systems, particularly against established principles like FUTURE-AI.

Evidence and confidence

How far can this assessment be trusted?

High confidence. Named institution, original document retained and analysis corroborated.

Analysis is prepared editorially by Aziz Shuaib Ausi. The original publication remains the authoritative record, and executive judgement remains entirely human.

Source

Where does this originate?

Reported by arXiv — Computers and Society · International. This briefing summarises the publication for executive use; the document itself is not reproduced here.

Read the original publication