Autonomous Health Podcast
Welcome to the Autonomous Health Podcast, where we have conversations with academics, researchers, entrepreneurs and investors at the intersection of bringing AI and machine learning(ML) to healthcare and wellness.
About Your Host:
Anmol Madan is an entrepreneur, computer scientist, and executive who has been leading the digital health and AI revolution over the past two decades. Anmol has co-founded or held executive roles at multiple unicorns in the emerging field of digital healthcare; a field which has existed for less than two decades. His professional contributions in the field have received hundreds of millions of dollars in funding from leading VCs, and been featured in such media as CNBC, New York Times, Washington Post, and Wired Magazine. His scientific contributions have been published in dozens of scientific articles in leading computer science and digital health journals, and led to over 30 issued and pending US patents.
Anmol received a Ph.D. in machine learning applied to human behavior from the MIT Media Lab. In his spare time, he enjoys time with his family, which has recently meant changing a surprising number of diapers.
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Autonomous Health is...
Produced & Hosted by: Anmol Madan
Edited by: Rebecca Ahn
Disclaimer:
The Autonomous Health podcast is for general informational purposes only and does not constitute the practice of medicine or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast or materials linked from this podcast is at the user’s own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professionals for any such conditions.
- Update frequency
- every 17 days
- Average duration
- 32 minutes
- Episodes
- 14
- Years Active
- 2023 - 2024
Skin Cancer and Melanoma - Did Machine Vision Lose?
In this episode, we talk to Cody Simmons, CEO at DermaSensor. DermaSensor achieved internet-fame in late Jan 2024, when it received FDA clearance for its approach using non-invasive spectroscopy for …
An Architect’s View on Putting Healthcare AI to Work
In this episode, we speak to Bagirathi Narayanan, Chief Architect at Teladoc Health.
Bagirathi talks about her journey as an enterprise software architect in the finance-tech world, and what made her …
Misinformation and Trust in the Healthcare AI Era
In this episode, we talk to Dr. Geeta Nayyar, healthcare executive and author. Dr. Nayyer joins us to talk about her recent WSJ bestseller, Dead Wrong, and the role of technology in misinformation.
D…
Bringing Personalization to Health Plans
In this episode, we speak to Dr. Arta Bakshandeh, Chief Medical Informatics Officer of Alignment Health. Dr. Bakshandeh talks about his journey as a physician, seeing the power of machine learning an…
Health Equity Implications in the New Age of AI
Health equity has been an important discussion in the last several years in the healthcare community. In this episode, we go deeper into the challenges in health equity with Stefany Goradia.
We begin…
AI in Inpatient and Home Care: Mike & Jon from Inspiren
What are the opportunities for AI in inpatient and home care? In this episode, we talk to Mike Wang and Jon Gips from Inspiren, whose AUGi platform leverages machine vision and AI to help nurses and …
Our Autonomous Health Mini-State of the Union
AI innovation is moving at a breakneck pace, and we’re just starting to understand the applications and impact on healthcare. In this episode, we take a moment to reflect on the need and broader visi…
What AI Can Solve in Behavioral Health and What It Can’t
In this episode, we speak to a luminary in the field of mental health. Dr. Tom Insel is the executive chair at Vanna Health, former executive at Verily, and former director of the National Institute …
Building High-Performing AI Teams in Healthcare
Most of our guests at our Autonomous Health Podcast talk about novel insights about data, AI models, and applications. But in this episode, we’re going down a different path – learning about building…
Sleep as a Competitive Advantage: Insights from Pilots and Astronauts Applied to Everyday Life
This episode of Autonomous Health takes a longer-term look at the future of sleep. What can we learn about sleep in extreme environments from astronauts, military pilots, and oil rig workers? Our gue…
How CGMs Are Evolving What We Know About Blood Glucose in Metabolic Disease and Everyday Life
Continuous Glucose Monitors (CGMs) were first approved by the FDA nearly 25 years ago, but have seen widespread adoption in the last decade with popular CGM models from leading companies such as Dexc…
LLMs and Healthcare Applications: Where Things Are & Lessons from Building Conversational Applications at Scale
Welcome back to the Autonomous Health podcast. AI conversational agents and natural language have existed well before the recent advances in large-language-models (LLMs).
In this episode, we talk to …
Qualified Consumer Wellness and Sleep: Hearing the Rise Science Story
Welcome back to the Autonomous Health podcast. Good sleep plays a pivotal role in mood, brain functioning, limiting stress, and overall health, including the management of chronic conditions. Yet ove…
What LLM AI Applications Can Learn About Risk & Safety from the Last Decade of Autonomous Vehicles (Self-Driving Cars)
Welcome to Season 1 of the Autonomous Health podcast. The last six months have seen tremendous progress of generative AI, much of it in large language models like chat-GPT. But there are numerous que…