Dev and Doc: AI For Healthcare Podcast

AI agents are here, but how did we get here in the first place? How do we build and leverage AI agents for high stakes domains like healthcare? In this episode of Dev and Doc, we go deep into the forest that is AI agents and computer control - starting from the "caveman" era of LLMs discovering tools, to cultivating intelligent models and agentic workflows. We dissect everyday agents like MANUS AI, and deep dive into how, where and when AI agents should be used. Are these agents hype or hope, is this actually the second deepseek moment? 👋 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 :) Episode Timestamps: 00:00 Highlight 3:13 start / intro 5:20 LLM's caveman era - tool usage 6:46 Agents have autonomy and interact with environment 11:15 workflows and agentic flows 15:30 when should you be using an agent? 24:27 vibe coding is like driving a car 29:07 Demo - MANUS gathering financial trends, computer control 35:55 Demo MANUS AI- website creation for Autism Assessment 49:05 computer control factions- Freedom vs Process automation 55:00 Autism website testing 59:13 summary + end Hosts: 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ [https://www.linkedin.com/in/dr-joshua-auyeung/] 🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr [https://twitter.com/zeljkokr] Find us on: YT - https://youtube.com/@DevAndDoc [https://youtube.com/@DevAndDoc] Spotify - https://podcasters.spotify.com/pod/show/devanddoc [https://podcasters.spotify.com/pod/show/devanddoc] Apple- https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120 [https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120] Substack- https://aiforhealthcare.substack.com/ [https://aiforhealthcare.substack.com/] For enquiries: 📧Devanddoc@gmail.com Credits: 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ [https://www.instagram.com/dragan_kraljevic/] 🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d [https://www.behance.net/anagrigorovici027d]

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. 👋 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 :) TIMESTAMPS 00:00 start + highlights 01:54 Introduction 08:54 Benchmarks, state of the art 14:44 guardrails, refusals, AI safety and catastrophic risks 22:36 show and tell- great for coding and make video games! 26:54 example hospital runner 30:17 Medical use cases- clinical coding, biomedical entity extraction 37:04 only medical example in Claude model card- still hallucinating citations 38:37 making an anatomy app 40:10 forecasting clinical diagnoses 43:36 taking a medical history from a patient 53:33 wrap up 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - linkedin.com/in/dr-joshua-auyeung [https://www.linkedin.com/in/dr-joshua-auyeung/] 🤖Dev - Zeljko Kraljevic twitter.com/zeljkokr [https://twitter.com/zeljkokr] YT:youtube.com/@DevAndDoc [https://youtube.com/@DevAndDoc] Spotify:podcasters.spotify.com/pod/show/devanddoc [https://podcasters.spotify.com/pod/show/devanddoc] Apple:podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120 [https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120] Substack:aiforhealthcare.substack.com [https://aiforhealthcare.substack.com/] For enquiries - 📧 Devanddoc@gmail.com [Devanddoc@gmail.com] 🎞️ Editor - Dragan Kraljević instagram.com/dragan_kraljevic [https://www.instagram.com/dragan_kraljevic/] 🎨 Brand design - Ana Grigorovici behance.net/anagrigorovici027d [https://www.behance.net/anagrigorovici027d]

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. 👋 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 :) 🎙️ HOSTS * 👨🏻‍⚕️ Doc - Dr. Joshua Au Yeung - LinkedIn [https://www.linkedin.com/in/dr-joshua-auyeung/] * 🤖 Dev - Zeljko Kraljevic - Twitter [https://twitter.com/zeljkokr] ⏳ 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? 📢 FOLLOW US * LinkedIn Newsletter [https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7216474068085026817] * YouTube [https://youtube.com/@DevAndDoc] * Spotify [https://podcasters.spotify.com/pod/show/devanddoc] * Apple Podcasts [https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120] * Substack [https://aiforhealthcare.substack.com/] 📧 CONTACT US For enquiries - devanddoc@gmail.com 🎞️ VIDEO PRODUCTION * 🎬 Editor - Dragan Kraljević - Instagram [https://www.instagram.com/dragan_kraljevic/] * 🎨 Brand Design & Art Direction - Ana Grigorovici - Behance [https://www.behance.net/anagrigorovici027d]

Dev and Doc put Deepseek R1 to the test in a technical and clinical deep dive. 👋 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 :) 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-au-yeung/ [https://www.linkedin.com/in/dr-joshua-auyeung/] 🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr [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 [https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7216474068085026817] YT - https://youtube.com/@DevAndDoc [https://youtube.com/@DevAndDoc] Spotify - https://podcasters.spotify.com/pod/show/devanddoc [https://podcasters.spotify.com/pod/show/devanddoc] Apple- https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120 [https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120] Substack- https://aiforhealthcare.substack.com/ [https://aiforhealthcare.substack.com/] For enquiries - 📧Devanddoc@gmail.com [Devanddoc@gmail.com] 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ [https://www.instagram.com/dragan_kraljevic/] 🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d [https://www.behance.net/anagrigorovici027d]

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. 👋 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 👨🏻‍⚕️ Doc - Dr. Joshua Au Yeung - LinkedIn [https://www.linkedin.com/in/dr-joshua-auyeung/] 🤖 Dev - Zeljko Kraljevic - Twitter [https://twitter.com/zeljkokr] Where to Follow Us LinkedIn Newsletter [https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7216474068085026817] YouTube [https://youtube.com/@DevAndDoc] Spotify [https://podcasters.spotify.com/pod/show/devanddoc] Apple Podcasts [https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120] Substack [https://aiforhealthcare.substack.com/] Contact Us 📧 For enquiries - Devanddoc@gmail.com [Devanddoc@gmail.com] Credits 🎞️ Editor - Dragan Kraljević - Instagram [https://www.instagram.com/dragan_kraljevic/] 🎨 Brand Design and Art Direction - Ana Grigorovici - Behance [https://www.behance.net/anagrigorovici027d] 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 Google’s Problem Decomposition 53:32 Anthropic’s Contextual Retrieval Processing 56:07 Summary and wrap up References Cross Encoders [https://cookbook.openai.com/examples/search_reranking_with_cross-encoders] Wikichat [https://arxiv.org/abs/2305.14292#] Google's Problem Decomposition [https://arxiv.org/pdf/2205.10625] Anthropic's Contextual Retrieval [https://www.anthropic.com/news/contextual-retrieval] Google AIME in Oncology [https://research.google/blog/advancing-amie-towards-specialist-care-and-real-world-] DeepMind's Promptbreeder [https://arxiv.org/abs/2309.16797]