AI will transform clinical medicine. I'm helping shape how.

I'm Chuk Anyaegbuna, a physician and product leader. I came to medicine through curiosity and the pull toward work that actually matters. I moved into technology when I realised it was the fastest way to scale access without sacrificing outcomes. Now I'm focused on policy, because the best product in the world doesn't matter if the regulations prevent it from reaching the people who need it most.

At Healthy.io, I helped bring smartphone kidney screening to 500,000+ NHS patients. At Koa Health, I launched digital mental health products across the UK, US, and APAC. At Scarlet, I helped medical device companies navigate EU regulation. At Eucalyptus, I launched their male-focused GLP-1 brand in the UK.

That trajectory brought me to San Francisco as a Harkness Fellow at Stanford, where I'm exploring how AI will reshape healthcare: from the patient front door, to clinical copilots, to the policy frameworks that determine who benefits. I write about it at Amor Fati.

Interests

Patient Front Door
Consumer AI in Healthcare
How AI will change the way patients access care, from symptom checkers to triage to navigation.
Clinical Copilot
AI at the Point of Care
Decision support, documentation, diagnosis: where AI augments (not replaces) clinical judgment.
Equity & Policy
Who Benefits from Clinical AI?
Regulatory frameworks, health equity, and ensuring AI doesn't widen existing disparities in care.

Projects

Policy Paper · In Progress
AI Translation in Healthcare
57% of US physicians are using AI translation, yet error rates for languages like Haitian Creole reach 23-33%. First-authoring a paper proposing a tiered regulatory framework centred on patient comprehension, not just linguistic accuracy.
Clinical Trial · IRB Submission
Patient Comprehension Study
Comparing AI-translated discharge instructions to professional translations across 4 LLMs and 8 languages.
Perspective · In Progress
FDA Post-Market Surveillance
Only 5.2% of 1,248 AI devices report adverse events. Proposing mandatory Algorithm Unique Identifiers.
Development · Stanford
Clinical Documentation Integrity
Building an AI system using Stanford's PHI-safe GPT API to catch missed high-value diagnoses, addressing a problem of time constraints, not knowledge gaps.

Writing

Reading

Loading from Goodreads...