# EP422: AI Movement VueMotion and the Future

Page: https://stenobird.com/podcast/doctor-warrick-bishop-heart-health-903567/ep422-ai-movement-vuemotion-and-the-future
Text version: https://stenobird.com/podcast/doctor-warrick-bishop-heart-health-903567/ep422-ai-movement-vuemotion-and-the-future.md
Podcast: [Doctor Warrick Bishop - Healthy Life Podcast](https://stenobird.com/podcast/doctor-warrick-bishop-heart-health-903567)
Published: 2026-01-24T22:00:00+00:00
Episode link: https://drwarrickbishop.com/podcast/episode/1/ep422-ai-movement-vuemotion-and-the-future
Audio file: https://evolvepreneuriq.app/pe-ext/5/https://op3.dev/e/drwarrickbishop.com/podcast-redirect/1044.mp3
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JSON: https://stenobird.com/v1/public/podcasts/doctor-warrick-bishop-heart-health-903567/episodes/ep422-ai-movement-vuemotion-and-the-future
Duration seconds: 1649

## Resource

Welcome to my podcast. I am Doctor Warrick Bishop, and I want to help you to live as well as possible for as long as possible. I’m a practising cardiologist, best-selling author, keynote speaker, and the creator of The Healthy Heart Network. I have over 20 years as a specialist cardiologist and a private practice of over 10,000 patients. Podcast Summary Introduction Dr. Warrick Bishop, a cardiologist, author, and CEO of the Healthy Heart Network, hosts this episode featuring Ryan Talbot, president and founder of ViewMotion, a company specializing in AI-driven movement analysis technology. The two met serendipitously at an airport in Santiago and discovered a shared interest in applying advanced computer vision and machine learning to health and sports performance, leading to this discussion about how movement analysis could revolutionize injury prevention and athletic performance. Key Takeaways: ViewMotion uses computer vision and machine learning to analyze human movement from standard smartphone video (4K, 60fps), converting video data into detailed movement metrics with centimeter-level accuracy by calibrating the scene with five cones. The technology generates comprehensive reports including split times, maximum speed, asymmetries between left and right legs, ground contact time, flight time, and a step quality score compared against normative datasets based on age, gender, sport, and anthropometric values. Coaches receive three prioritized recommendations for athlete improvement based on algorithmic analysis that identifies force deficiencies, velocity deficiencies, or movement deficiencies specific to each individual. The system can analyze multiple athletes rapidly (US Soccer completed 120 analyses in 14 minutes) and is used weekly by major professional sports t…

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## Transcript

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