AI in Healthcare and Measuring Human Health | Select Research's Richard Barnes

AI in Healthcare and Measuring Human Health | Select Research's Richard Barnes

On this episode of the AI For All Podcast, Richard Barnes, CEO of Select Research and inventor of the Body Volume Index (BVI), joins Ryan Chacon and Neil Sahota on the AI For All Podcast to discuss AI in healthcare and measuring human health. They talk about the applications of BVI, how AI is diagnosing health issues, longevity, measuring health in real-time, using AI with wearables, training AI models with diverse datasets, reunifying medical information with AI, and using AI to understand the health of a population.

Richard Barnes is the inventor of the Body Volume Index (BVI), a digital weight measurement developed over the past 15 years as an alternative to the Body Mass Index. BVI produces over 200 measurements just from two digital images of a person to measure weight distribution, body composition, and much more. AI is being integrated to provide insight into the differences in our body shapes across nations to work out who we are and what we are.

Select Research has been a pioneer in measuring human body shape for over 25 years. They have managed major national sizing surveys for clothing retailers using 3D technology to measure the outside of our bodies. In 2007, Select patented the Body Volume Index (BVI) to measure the inside of the body for healthcare and this has been developed since then with international academic and scientific partners, including Mayo Clinic.

More about Select Research: https://www.bodyvolume.com

Connect with Richard: https://www.linkedin.com/in/richard-barnes/

Key Questions and Topics from This Episode:

(00:00) Intro to the AI For All Podcast

(01:10) Intro to Richard Barnes and Select Research

(01:29) How AI is being used to measure people

(02:16) What are the applications of BVI?

(09:26) How is AI diagnosing health issues?

(11:52) Will AI measure our health in real-time?

(13:57) Using AI with wearables

(15:05) Training AI models with diverse datasets

(16:16) AI in healthcare

(21:20) Will AI reunify medical information?

(23:26) How will AI be used to understand population health?

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