Why regulation is part of trustworthy medical AI

It is tempting to treat regulation as a hurdle that slows good ideas down. In medical AI it is closer to the opposite. The discipline of EU MDR, IVDR, FDA pathways, and software as a medical device forces the questions that decide whether a tool is safe: what is the intended use, what are the risks, how is performance evaluated, and who is accountable.

A clinician cannot rely on a black box. Clear intended-use statements, risk management, and clinical evaluation are how a tool earns its place at the point of care. My medical device regulations training at KTH and FDA clinical investigator training shaped how I build: define the clinical claim first, then prove it.

Regulation done well does not block innovation. It is the difference between a demo and a product a clinician will trust with a patient.