fullscreen background
Skip to main content

Fall Quarter

Fall Registration Opens Aug 17
shopping cart icon0

Courses


« Back to Professional & Personal Development

TECH 81 — AI in Healthcare: From Innovation to Impact

Quarter: Fall
Instructor(s): Amit Kaushal
Duration: 6 weeks
Location: Online
Date(s): Oct 15—Nov 19
Class Recording Available: Yes
Class Meeting Day: Thursdays
Grade Restriction: NGR only; no credit/letter grade
Class Meeting Time: 6:30—8:00 pm (PT)
Tuition: $500
   
Refund Deadline: Oct 17
 
Unit(s): 0
   
Status: Registration opens Aug 17, 8:30 am (PT)
 
Quarter: Fall
Day: Thursdays
Duration: 6 weeks
Time: 6:30—8:00 pm (PT)
Date(s): Oct 15—Nov 19
Unit(s): 0
Location: Online
 
Tuition: $500
 
Refund Deadline: Oct 17
 
Instructor(s): Amit Kaushal
 
Grade Restriction: NGR only; no credit/letter grade
 
Recording Available: Yes
 
Status: Registration opens Aug 17, 8:30 am (PT)
 
 
AI is now writing clinical notes from doctor-patient conversations, drafting replies to patient portal messages, reading X-rays and other medical images, and spotting early signs of sepsis in the ICU. AI's capability is no longer in doubt. But a technical achievement is one thing, and real benefits to patients, clinicians, or the health system are another.

We'll examine what it takes to translate AI advances into real-world impact in healthcare: choosing problems that matter, integrating with clinical workflows, monitoring quality and outcomes, and making sure the tool actually helps the people it's meant to serve. We'll explore where AI is genuinely improving care today, where it's adding complexity without value, and where things are headed next.

This course is for engineers and entrepreneurs building AI tools for health, healthcare professionals considering or using AI in their practice, and anyone encountering AI in their own care.

AMIT KAUSHAL
Clinical Associate Professor of Medicine and Adjunct Professor of Bioengineering, Stanford

Amit Kaushal is a clinical associate professor of medicine and adjunct professor of bioengineering at Stanford. His research focuses on the ethical, real-world deployment of AI in healthcare. He founded and co-directs Stanford's undergraduate major in biomedical computation and is a faculty member of Stanford's Institute for Human-Centered AI and Partnership in AI-Assisted Care. Kaushal is board-certified in internal medicine and clinical informatics and practices as an academic hospitalist. He received a PhD in biomedical informatics and an MD from Stanford.