HAI Weekly Seminar with Serena Yeung
The Clinician’s AI Partner: Augmenting Clinician Capabilities Across the Spectrum of Healthcare
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The Clinician’s AI Partner: Augmenting Clinician Capabilities Across the Spectrum of Healthcare
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.

Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.

This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
Clinicians often work under highly demanding conditions to deliver complex care to patients. As our aging population grows and care becomes increasingly complex, physicians and nurses are now also experiencing feelings of burnout at unprecedented levels. In this talk, I will discuss the potential of AI to function as a partner to clinicians, and augment their capabilities across the spectrum of healthcare delivery. With an emphasis on AI capabilities for visual reasoning, I will present examples and ongoing work towards building clinician and AI partnerships in settings ranging from hospital treatment to remote care and beyond