The Healthcare AI Podcast
Podcast Description
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 business value. Open and impactful discussions for AI professionals and enthusiasts.
Podcast Insights
Content Themes
The show covers diverse topics such as healthcare AI, financial applications of NLP, legal tech innovations, and advancements in life sciences. Episodes delve into specific examples like the evaluation of LLMs in healthcare settings, detailing case studies that highlight transformative AI use cases and ethical considerations, including episodes on the impact of AI on clinical coding and patient data privacy.

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 business value. Open and impactful discussions for AI professionals and enthusiasts.
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 LangTest tackles bias in processing 1.5M hospital feedback audio files annually, ensuring fair sentiment analysis and actionable insights. From eliminating gender bias in nurse vs. doctor feedback to building robust, ethical AI models, this episode is a must-watch for healthcare and AI innovators!
Join the Conversation: What’s the biggest challenge in healthcare AI today? Comment below!
Timestamps
06:18 – Bias in patient-feedback NLP
07:13 – LangTest & synthetic debiasing
12:30 – Data contamination & custom benchmarks
15:19 – Robustness testing & augmentation
20:18 – Medical red-teaming & safety checks
23:44 – Clinical cognitive biases in LLMs
Listen on your favourite platform:
• YouTube: https://www.youtube.com/playlist?list=PL5zieHHAlvApZKkwtu746ivthRc5zyTiU
• Apple Podcast: https://podcasts.apple.com/us/podcast/the-healthcare-ai-podcast/id1827098175
• Spotify: https://open.spotify.com/show/2XNrQBeCY7OGql2jVhcP7t
• Amazon Music: https://music.amazon.com/podcasts/5b1f49a6-dba8-479e-acdf-9deac2f8f60e/the-healthcare-ai-podcast
Connect with us:
Our website: https://www.johnsnowlabs.com/
LinkedIn: https://www.linkedin.com/company/johnsnowlabs/
Facebook: https://www.facebook.com/JohnSnowLabsInc/
X: https://x.com/JohnSnowLabs
#AIinHealthcare #AIBias #EthicalAI #AIGovernance #NLP #HealthTech #PatientFeedback #HealthcareAI

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