thepolymathprof.com
Delaney
La Rosa
professor of AI in healthcare
Helping health professions educators, clinicians, and leaders decide what AI can be trusted with.
About
Delaney La Rosa is a professor of AI in healthcare whose work spans medicine, nursing, pharmacy, allied health, and every discipline that touches patient care. Her research and teaching focus on the responsible integration of artificial intelligence into clinical practice and health professions education — examining not just what AI can do, but what it should do, and under what conditions human judgment must remain sovereign.
The question is never whether AI is capable. The question is whether we have built the conditions for it to be trusted.
Newsletter
The Friday Brief
A weekly newsletter on AI in healthcare — delivered every Friday. Each issue examines one development, one question, or one tension at the intersection of artificial intelligence and clinical practice. No hype. No vendor copy. Just rigorous, independent analysis for health professionals who need to think clearly about AI.
Read by educators, clinicians, and health system leaders across the country.
Speaking & Consulting
Speaking & Consulting
Available for keynotes, faculty development workshops, and consulting engagements with health systems, schools of health professions, and professional associations.
Topic 01
Responsible AI in Clinical Practice
A framework for evaluating AI tools in clinical settings — what evidence to demand, what questions to ask, and where human judgment is non-negotiable.
Topic 02
Teaching AI Across the Health Professions
Curriculum design and pedagogical strategies for integrating AI literacy into health professions education at every level.
Topic 03
Human-Centered AI: Beyond the Algorithm
Why the most important AI decisions are not technical — and how health system leaders can build cultures of critical adoption.
Topic 04
AI, Equity, and the Future of Care
Examining how algorithmic systems can entrench or disrupt health disparities, and what responsible deployment requires.
To inquire about availability, please use the contact form below or reach out directly via LinkedIn.
Writing
Selected Writing
On disclosure, consent, and the professional obligations that no algorithm can fulfill.
Health professions programs are graduating clinicians who will work alongside AI systems they were never trained to evaluate.
A case for principled skepticism — and why the most dangerous AI advocates are the ones who have never worked a clinical shift.
In an era of narrow specialization, the clinicians best equipped to navigate AI are those who have refused to stop learning.
All essays are also published on Substack.
Contact
Get in Touch
For speaking inquiries, consulting engagements, media requests, or general correspondence.