Explore real-world applications of generative AI, large language models, and advanced NLP in The Applied AI Podcast. We dive into healthcare, finance, legal, life sciences, and more with expert interviews, practical case studies, and insights on open-source tools and frameworks. Discover how organizations deploy AI at scale, navigate ethical and technical challenges, and unlock transformative busi... more
Publishes | Twice monthly | Episodes | 5 | Founded | 2 months ago |
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Number of Listeners | Category | Technology |
In this episode, we explore LLM-based medical agents, their architecture, applications, and challenges. Healthcare faces a perfect storm: ageing populations, labor shortages, and rising healthcare costs. Can AI agents be the solution?
The study ana... more
Can AI make healthcare feedback fairer and smarter? In Episode 4 of The Healthcare AI Podcast, Ben Webster (VP of AI Solutions at NLP Logix) and David Talby (CEO of John Snow Labs) dive into a game-changing approach to AI governance. Discover how Lan... more
Dive into Episode 3 of the Healthcare AI Podcast, where Vishnu Vettrivel and Alex Thomas explore the growing world of Model Context Protocol (MCP) with a focus on Healthcare MCP (HMCP) from Innovaccer. This episode breaks down the essentials of MCP, ... more
Explore regulatory‑grade multimodal data de‑identification and tokenisation with Youssef Mellah, PhD, Senior Data Scientist at John Snow Labs and Srikanth Kumar Rana, Solutions Architect at Databricks.
Learn how to remove, mask or transform PHI acr... more
Welcome to the first episode of The Healthcare AI Podcast, presented by John Snow Labs!
Join John Snow Labs CEO David Talby and CTO Veysel Kocaman, as they crack open the future of medicine.
They’ll reveal how state-of-the-art Healthcare AI is tr... more
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #31 |
Listeners, social reach, demographics and more for this podcast.
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The Healthcare AI Podcast launched 2 months ago and published 5 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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