Episode 221 – Making Human Movement Measurable with AI
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Episode 221 – Making Human Movement Measurable with AI
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In this episode, Zaw Thet, CEO and Co-founder of Exer AI, explores how AI-powered computer vision can make human movement measurable and transform the delivery of musculoskeletal and movement health. He explains how Exer uses ordinary cameras and AI to assess movement across orthopedics, neurology, rehabilitation, telehealth, and at-home care, providing clinicians with objective insights while improving clinical efficiency and access.
The conversation highlights how AI can improve patient outcomes and help clinicians deliver more personalized care at scale. Zaw also discusses the growing role of continuous monitoring, combining movement data with signals from wearables to identify risks earlier, particularly for older adults and fall prevention. He emphasizes that scaling healthcare AI requires clinical validation, regulatory compliance, proprietary data, and patience to move from innovation to real-world adoption.
Zaw expects AI to create a more efficient healthcare system but cautions against removing humans from clinical decision-making too quickly. As generative AI expands, human oversight, accountability, and patient safety will remain essential to scaling AI responsibly. Take a listen.