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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 &...

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5 of 28
  • #27 Exploring Claude Sonnet 3.7 for healthcare
    body{font-family:sans-serif;color:#fff;background:#121212;margin:0;padding:10px}p{margin:8px 0}h1{font-size:18px;margin:10px 0}.note{background:#535353;padding:10px;border-radius:4px;margin:10px 0}.timestamps span{color:#1DB954;font-weight:bold}a{color:#1DB954;text-decoration:none}Can Claude perform a range of complex clinical tasks? Dev and Doc are here to investigate.Claude sonnet 3.7 was released less than 48 hours ago, the model is highly intelligent and is one of the best we have seen in recent memory. Definitely passes the vibe check.We give some amazing examples of coding with claude with few shot prompts, and cover technical and clinical evaluations and share our first thoughts. We even tested claude to take a patient history!NB - PLEASE don't do this at home, obviously this is a demo and we do not in any way condone or recommend using an LLM as your doctor or healthcare provider, we are just demonstrating what the future could be. If you are sick, please seek a medical professional.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 :)TIMESTAMPS00:00 start + highlights01:54 Introduction08:54 Benchmarks, state of the art14:44 guardrails, refusals, AI safety and catastrophic risks22:36 show and tell- great for coding and make video games!26:54 example hospital runner30:17 Medical use cases- clinical coding, biomedical entity extraction37:04 only medical example in Claude model card- still hallucinating citations38:37 making an anatomy app40:10 forecasting clinical diagnoses43:36 taking a medical history from a patient53:33 wrap upšŸ‘ØšŸ»ā€āš•ļøDoc - Dr. Joshua Au Yeung - linkedin.com/in/dr-joshua-auyeungšŸ¤–Dev - Zeljko Kraljevic twitter.com/zeljkokrYT:youtube.com/@DevAndDocSpotify:podcasters.spotify.com/pod/show/devanddocApple:podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120Substack:aiforhealthcare.substack.comFor enquiries - šŸ“§ [email protected]šŸŽžļø Editor - Dragan Kraljević instagram.com/dragan_kraljevicšŸŽØ Brand design - Ana Grigorovici behance.net/anagrigorovici027d
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  • #26 Is it still worth doing a PhD in 2025? (Computer Science / Machine Learning)
    Is it still worth doing a PhD in 2025? Is the academic system broken in this publish-or-perish landscape? When is a PhD not worth pursuing? About this Episode In this Dev and Doc episode, Zeljko (now associate professor!) and Josh (doctor, PhD drop out) talk about the good and the bad of PhD life. They provide insight into the academic world with a focus on computer science and machine learning. šŸ‘‹ Connect With Us! 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 :) šŸŽ™ļø Hosts šŸ‘ØšŸ»ā€āš•ļø Doc - Dr. Joshua Au Yeung - LinkedIn šŸ¤– Dev - Zeljko Kraljevic - Twitter ā³ Timestamps 00:00 - Start and highlight 01:42 - Intro 03:11 - What made you pursue PhD in the first place 05:05 - Industry or PhD first 10:00 - Positives - Moonshots 17:03 - Positives - Access to world experts and collaboration 20:55 - Positives - Open source and open science 24:49 - Positives - A good environment enables a smooth PhD 27:04 - Negatives - You are a one-man show 31:33 - Negatives - Publish or Perish 45:44 - Bring your research closer to the audience through blogs and other media, journals are legacy media 51:20 - Verdict - Is a PhD still worth it in 2025? šŸ“¢ Follow Us LinkedIn Newsletter YouTube Spotify Apple Podcasts Substack šŸ“§ Contact Us For enquiries - [email protected] šŸŽžļø Video Production šŸŽ¬ Editor - Dragan Kraljević - Instagram šŸŽØ Brand Design & Art Direction - Ana Grigorovici - Behance
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  • #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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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 (UCL) ------------- Substack- https://aiforhealthcare.substack.com/ YT - https://youtube.com/@DevAndDoc
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