The Convergence Gap in AI Life Sciences Regulation
Regulators describe AI, digital health, and clinical trial law as converging, but FDA, UK, and Chinese actions show the frameworks are still moving on separate, misaligned tracks.
Regulators describe AI, digital health, and clinical trial law as converging, but FDA, UK, and Chinese actions show the frameworks are still moving on separate, misaligned tracks.
Divergence in AI rules across the US, EU, and China is driven less by geography than by conflicting definitions of what counts as a regulated AI function.
Hospitals and pharma functions adopting generative AI now carry governance obligations that device and drug frameworks were never built to cover.
Clinical AI adoption stalls less on model choice and more on whether teams can prove, on demand, that human oversight actually functioned.
Life sciences firms building patient-facing AI tools are relying on a HIPAA and FDA perimeter that consumer health AI routinely sits outside.