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Dev and Doc: AI For Healthcare Podcast

Podcast Dev and Doc: AI For Healthcare Podcast
Dev and Doc
Bringing doctors and developers together to unlock the potential of AI in healthcare. Together, we can build models that matter. šŸ¤–šŸ‘ØšŸ»ā€āš•ļø Hello! We are Dev &...

Available Episodes

5 of 26
  • #25 Testing Deepseek R1 on Complex Medical Tasks. Here's what we found. (GRPO explainer)
    Dev and Doc put Deepseek R1 to the test in a technical and clinical deep dive. šŸ‘‹ Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :) šŸ‘ØšŸ»ā€āš•ļøDoc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-au-yeung/ šŸ¤–Dev - Zeljko Kraljevic https://twitter.com/zeljkokr TIMESTAMPS 00:00 Highlights 04:36 Intro 08:29 response from OpenAI, Anthropic- model training costs, tightening restrictions on China, pricing wars 13:13 what an open-source deepseek means for the world. 15:38 Sam altman and Dario amodei feeling the pressure 23:10 TECHNICAL deep dive - RLHF, ppo, dpo 37:08 GRPO, R1s secret sauce 45:02 the aha moment, learning like a human? 50:25 deepseek R1 training and controversy 59:08 deepseek healthcare evaluation - Ethnic Bias 1:06:17 The diagnostic acid test (fail) 1:12:46 Coding clinical data / Medical billing (shout out SNOMED) LinkedIn Newsletter https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7216474068085026817 YT - https://youtube.com/@DevAndDoc Spotify - https://podcasters.spotify.com/pod/show/devanddoc Apple- https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120 Substack- https://aiforhealthcare.substack.com/ For enquiries - šŸ“§[email protected] šŸŽžļø Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ šŸŽØBrand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d
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  • #24 Significantly advancing LLMs with RAG (Google's Gemini 2.0, Deep Research, notebookLM)
    Dev and Doc - Latest News Dev and Doc - Latest News It's 2025, Dev and Doc cover the latest news including Google's deep research and notebook LM, DeepMind's Promptbreeder, and Anthropic's new RAG approach. We also go through what retrieval augmented generation (RAG) is, and how this technique is advancing LLM performance. šŸ‘‹ Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :) Meet the Team šŸ‘ØšŸ»ā€āš•ļø Doc - Dr. Joshua Au Yeung - LinkedIn šŸ¤– Dev - Zeljko Kraljevic - Twitter Where to Follow Us LinkedIn Newsletter YouTube Spotify Apple Podcasts Substack Contact Us šŸ“§ For enquiries - [email protected] Credits šŸŽžļø Editor - Dragan Kraljević - Instagram šŸŽØ Brand Design and Art Direction - Ana Grigorovici - Behance Episode Timeline 00:00 Highlights 00:53 News - Notebook LM, OpenAI 12 days of Christmas 07:44 Change in the meta - post-training 11:34 Optimizing prompts with DeepMind Promptbreeder 13:20 Is OpenAI losing their lead against Google 16:45 Deep research vs Perplexity 24:18 AIME and oncology 26:00 Deep research results 30:20 RAG intro 33:14 Second pass RAG 36:20 RAG didn't take off 38:40 Wikichat 39:16 How do we improve on RAG? 41:11 Semantic/topic chunking, cross-encoders, agentic RAG 51:15 Googleā€™s Problem Decomposition 53:32 Anthropicā€™s Contextual Retrieval Processing 56:07 Summary and wrap up References Cross Encoders Wikichat Google's Problem Decomposition Anthropic's Contextual Retrieval Google AIME in Oncology DeepMind's Promptbreeder
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  • #23 Can OpenAI's GPT o1 solve complex medical problems?
    First Thoughts and Preliminary Insights into OpenAI's GPT o1 Strawberry in the Medical Domain With some expected and unexpected findings, we have a "bake off" between o1 and Doc to demonstrate how o1 fares with tricky medical scenarios. Disclaimer Obviously, don't use AI to diagnose or treat your medical problems. If you are unwell, please seek a medical professional (AI isn't good enough just yet :)). šŸ‘‹ Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :) Contributors ā€¢ šŸ‘ØšŸ»ā€āš•ļø Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ ā€¢ šŸ¤– Dev - Zeljko Kraljevic - https://twitter.com/zeljkokr Follow Us ā€¢ https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7216474068085026817 ā€¢ https://youtube.com/@DevAndDoc ā€¢ https://podcasters.spotify.com/pod/show/devanddoc ā€¢ https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120 ā€¢ https://aiforhealthcare.substack.com/ For enquiries - šŸ“§ mailto:[email protected] Team ā€¢ šŸŽžļø Editor - Dragan Kraljević - https://www.instagram.com/dragan_kraljevic/ ā€¢ šŸŽØ Brand Design and Art Direction - Ana Grigorovici - https://www.behance.net/anagrigorovici027d Timestamps ā€¢ 00:00 - Start + Highlights ā€¢ 01:28 - Intro, What is GPT o1? ā€¢ 05:18 - What is "Reasoning" in o1? ā€¢ 12:38 - Benchmarks: o1's Successes and Failures ā€¢ 24:07 - o1 and Doctor Bake Off! ā€¢ 24:21 - The Pregnancy Acid Test for LLMs ā€¢ 26:23 - Clinical Coding ā€¢ 30:06 - Tricky Patient Scenarios ā€¢ 32:25 - Opioid Dose Conversions
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  • #22 Explaining Explainable AI (for healthcare) with Dr Annabelle Painter (RSM digital health section Podcast)
    Dev and Doc is joined by guest Annabelle Painter, doctor, CMO, and podcaster for the Royal Society of Medicine Digital Health Podcast. We deep dive into explainability and interpretability with concrete healthcare examples. Check out Dr. Painter's Podcast here, she has some amazing guests and great insights into AI in healthcare! - https://spotify.link/pzSgxmpD5yb šŸ‘‹ Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :) šŸ‘ØšŸ»ā€āš•ļø Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ šŸ¤– Dev - Zeljko Kraljevic - https://twitter.com/zeljkokr LinkedIn Newsletter YouTube Channel Spotify Apple Podcasts Substack For enquiries - šŸ“§ [email protected] šŸŽžļø Editor - Dragan Kraljević - https://www.instagram.com/dragan_kraljevic/ šŸŽØ Brand design and art direction - Ana Grigorovici - https://www.behance.net/anagrigorovici027d Timestamps: 00:00 - Start + highlights 03:47 - Intro 08:16 - Does all AI in healthcare need to be explainable? 15:56 - History and explanation of Explainable/Interpretable AI 20:43 - Gradient-based saliency and heat maps 24:14 - LIME - Local Interpretable Model-agnostic Explanations 30:09 - Nonsensical correlations - When explainability goes wrong 33:57 - Modern explainability - Anthropic 37:15 - Comparing LLMs with the human brain 40:02 - Clinician-AI interaction 47:11 - Where is this all going? Aligning models to ground truth and teaching them to say "I don't know" References: Fun Examples of when models go wrong - Nonsensical correlations Mechanistic interpretability Anthropic - Mapping the mind of language models Limitations of current AI explainability approaches Explainability does not improve automation bias in radiologists
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  • #21 Foundational Models in Digital Pathology: Enhancing Cancer detection and outcomes
    An explainer on Foundation models for pathology, from Microsoft's Gigapath to Owkin's H-optimus-0, every company, big or small, are building pathology AI models. In this episode, Doc talks to Sean M. Hacking, assistant professor in Pathology at NYU Grossman School of Medicine and ƖzgĆ¼r Şahin, particle physicist at CERN. Together they are building the infrastructure for digital pathology that then allows training of pathology foundational models. Find out more at https://www.pathonn.com/. šŸ‘‹ Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :) https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7216474068085026817 https://youtube.com/@DevAndDoc https://podcasters.spotify.com/pod/show/devanddoc https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120 https://aiforhealthcare.substack.com/ šŸ‘ØšŸ»ā€āš•ļøDoc - https://www.linkedin.com/in/dr-joshua-auyeung/ šŸ¤–Dev - https://twitter.com/zeljkokr šŸŽžļø Editor - https://www.instagram.com/dragan_kraljevic/ šŸŽØ Brand design and art direction - https://www.behance.net/anagrigorovici027d 00:00 Introduction 03:28 Why pathology 06:42 Transporting slides is a logistical nightmare 13:20 When particle physics and AI pathology collide 17:55 AI digital pathology - Patch-based architecture and sparse topologies 27:09 Is there enough pathology data? 29:11 Microsoft and Gigapath, transformer models for pathology 33:55 Pathology models clinical applications 43:18 Staining applications of AI 49:22 Building a digital pathology startup - Patho-NN 57:36 Using AI to see tumor grading features that humans canā€™t see References: https://www.nature.com/articles/s41586-024-07441-w https://www.microsoft.com/en-us/research/blog/gigapath-whole-slide-foundation-model-for-digital-pathology/ https://www.nature.com/articles/s41379-021-00919-2
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About Dev and Doc: AI For Healthcare Podcast

Bringing doctors and developers together to unlock the potential of AI in healthcare. Together, we can build models that matter. šŸ¤–šŸ‘ØšŸ»ā€āš•ļø Hello! We are Dev & Doc, Zeljko and Josh :) Josh is a Neurologist, AI Researcher and Clinical AI Lead. Zeljko is an AI engineer, CTO and associate professor (King's College London) ------------- Substack- https://aiforhealthcare.substack.com/ YT - https://youtube.com/@DevAndDoc
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