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Examining developer perspectives on medical AI regulatory frameworks.

Cameron M Choo¹, Shelly Malik^2,3, Mengling Feng⁴

¹Interdisciplinary Graduate Programme (Neuroscience), Nanyang Technological University, Singapore, Singapore.

NPJ Digital Medicine

|May 8, 2026

Summary

This summary is machine-generated.

AI in medicine (AI-MD) developers show awareness of regulatory frameworks but limited adoption. Most developers feel responsible for implementation, highlighting a need for better education and support for AI-MD governance.

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Area of Science:

Medical Artificial Intelligence
Regulatory Science
Software Engineering

Background:

Regulatory frameworks are crucial for trustworthy artificial intelligence in medicine (AI-MD).
Developer perspectives on AI-MD regulatory frameworks are not well understood.
Understanding these perspectives is key to improving AI-MD governance and adoption.

Purpose of the Study:

To investigate AI-MD developers' awareness, familiarity, and adoption of regulatory frameworks.
To explore developers' views on ethical principles and responsibilities in AI-MD.
To identify factors influencing framework adoption and awareness among developers.

Main Methods:

Online survey distributed to 122 AI-MD developers.
Assessed awareness, familiarity, and organizational adoption of regulatory frameworks.
Examined views on ethical principles (e.g., robustness) and developer responsibilities.

Main Results:

57.4% of developers were aware of regulatory frameworks, with moderate familiarity.
Only 33.6% of organizations had formally adopted AI-MD regulatory frameworks.
Developers identified robustness as the key ethical principle and felt primarily responsible for implementation.

Conclusions:

AI-MD developers possess a strong sense of accountability.
Limited familiarity and adoption of regulatory frameworks necessitate enhanced education and organizational support.
Fostering responsible AI-MD practices requires addressing gaps in developer knowledge and institutional support.