Medical Imaging & Diagnostics AI
Evaluating and integrating AI systems for radiology, pathology, and other imaging-intensive specialties — with emphasis on clinical validation, performance benchmarking, and physician-AI collaboration.
Physician · AI Strategist
Building smarter clinical systems with AI that earns trust
I work at the intersection of medicine and artificial intelligence — helping health systems adopt AI responsibly, redesign clinical workflows, and improve diagnostic accuracy where it matters most.
About
Physician-led AI thinking for real clinical environments
I am a physician who has spent years studying how artificial intelligence can be applied safely and effectively within healthcare delivery. My work bridges clinical practice and technical implementation, with a particular emphasis on ensuring that AI tools meet the demands of real-world patient care.
I focus on the problems that matter — improving diagnostic accuracy through medical imaging AI, designing workflows that clinicians will actually use, and building governance frameworks that hold AI systems accountable. My goal is to help organizations move beyond hype and toward measurable clinical impact.
Focus Areas
Where I concentrate my work
Clinical Workflow Design
Redesigning care delivery processes so that AI tools fit naturally into how clinicians think and work, reducing friction and preserving the decision-making authority of the physician.
Governance, Safety & Evaluation
Developing frameworks for the responsible deployment of AI in healthcare — covering bias auditing, regulatory alignment, continuous monitoring, and transparent evaluation of model performance in production.
Background
A clinical foundation for technical work
My perspective is grounded in direct clinical experience. As a Stanford-trained physician and surgeon, I understand the stakes involved when algorithms influence patient outcomes — and I bring that awareness to every project, advisory engagement, and piece of analysis I produce.
I have worked across academic medicine, health system strategy, and AI product development. This range of experience allows me to translate between technical teams, clinical leadership, and regulatory stakeholders with clarity and precision.
Writing & Commentary
Thinking clearly about healthcare AI
AI Adoption in Health Systems
Analysis of what drives successful AI implementation in hospitals and clinics — organizational readiness, change management, and the gap between pilot results and system-wide deployment.
Diagnostic AI Under Scrutiny
Commentary on how imaging and diagnostics AI performs outside controlled research settings, including failure modes, dataset shift, and the importance of post-deployment surveillance.
Policy & Innovation in Healthcare
Perspectives on regulatory developments, reimbursement models for AI-assisted care, and the structural changes required for health systems to adopt emerging technologies at scale.
Collaborate
Working with health systems, startups, and research teams
I advise healthcare organizations and AI companies on clinical integration strategy, evaluation methodology, and governance design. If you are building or deploying AI in a clinical setting and want a physician perspective grounded in both the science and the operational reality, I welcome the conversation.