Dev and Doc: AI For Healthcare Podcast

On this episode of Dev and Doc, Doc sits down with Dr Hamilton Morrin, a psychiatrist and doctoral fellow exploring the intersection of AI and psychiatry. Together, we have seen first hand the impact and rise of AI psychosis, and over time we have been mapping out and publishing frontier research on this topic. Here we share everything you need to know about the clinical and technical aspects of AI psychosis, and its downstream impacts on society and medicine. 👋 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 Introduction, following AI psychosis over time 07:29 Themes of AI psychosis / AI-associated delusions 14:50 What even is psychosis in mental health context? 23:58 Tracking cases of AI psychosis 40:27 Is AI psychosis just another wave of technological harm? Or is there a technological difference?47:53 Misalignment between what companies vs engagement54:45 Psychosis bench- benchmarking AI Psychosis propensity in LLMs1:04:40 What can we do about it? To support us:buymeacoffee.com/devanddoc 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - LinkedIn🤖Dev - Zeljko Kraljevic - Twitter/XFollow us:YT - YouTubeSpotify - SpotifyApple - Apple PodcastsSubstack - SubstackFor enquiries: 📧 Devanddoc@gmail.com 🎞️ Editor - Dragan Kraljević - Instagram🎨 Brand design and art direction - Ana Grigorovici - Behance

Reviewing Dev & Doc's 2024/2025 AI Healthcare Predictions.What a year it's been! In this episode of Dev & Doc, we look back at the predictions we made almost 2 years ago. What did we get right? (And what AI developments did we completely overlook that occurred in 2025?)📺 Watch where it all began: Our Original 2024 AI Predictions EpisodeIt's going to be a fun one :) What are your predictions for 2026? Let us know!👋 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 Highlight01:06 Ambient: Biggest game changer04:01 Open Source will catch up to closed source09:20 Big AI companies will fail10:52 There will be more trials involving large language models13:55 Industry will lead progress19:36 LLMs are not going to replace therapists or doctors22:17 AI psychosis and big tech27:19 People with AI replace people without AI29:12 Radiology AI will become more widespread31:00 Dev was way too optimistic about OpenAI; Google is coming for you33:05 Predictions we missed: GOOGLE KILLED EVERYONE37:10 Uprising of China Open source, xAI39:15 RAG-based search products like OpenEvidence, MedWise (UK), Prof ValmedThe Team:👨🏻‍⚕️ Doc - Dr. Joshua Au Yeung: LinkedIn🤖 Dev - Zeljko Kraljevic: Twitter/XReferences:• Nuraxi: https://www.nuraxi.ai/• EU's Earth twin: https://destination-earth.eu/• Blog on language representation of biology: Read here• Foresight GPT: The LancetConnect With Us:📺 YouTube🍎 Apple Podcasts✉️ Substack📧 Enquiries: Devanddoc@gmail.comCredits:🎞️ Editor: Dragan Kraljević (Instagram)🎨 Brand Design: Ana Grigorovici (Behance)

Join Josh and Zeljko live at HETT 2025 in London - covering the most exciting topics and highlights that are upcoming in AI for healthcare. Coming from the duo who are living and breathing AI for healthcare, and together, have worked across every area of healthTech - from the hospital frontlines, to university research, to NHS implementation, to building industry grade agents including AI scribes, computer control and digital twins, to product and compliance. This is one not to miss! 00:00 start and intro 2:15 What are AI agents? (and why they're different from chatbots) 3:52 AI scribes: the 150 company sprint to "scribe plus" features 8:02 AI psychosis and mental health - all LLMs reinforce delusional beliefs 9:34 Computer control: Automating hospital workflows by mimicking human actions 13:42 Digital twins for health are the future: A safer path forward? 18:40 How does the national health service become AI enabled? 22:22 closing remarks - Is AI in healthcare a hype or hope? 25:12 questions - digital twins for individuals or for cohorts? 26:52 questions - Lessons from building AVTs and digital twins for consumer space 29:02 questions - LLM clinical summarisation - risks and benefits 31:17 questions - ethics of AI vs Human errors. is it the same? 33:02 questions - challenges and barriers to AI deployment in NHS 👋 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-auyeung/ 🤖 Dev - Zeljko Kraljevic - https://twitter.com/zeljkokr Follow us: 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: 📧 Devanddoc@gmail.com Credits: 🎞️ Editor - Dragan Kraljević - https://www.instagram.com/dragan_kraljevic/ 🎨 Brand design and art direction - Ana Grigorovici - https://www.behance.net/anagrigorovici027d

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 Highlight3:13 start / intro5:20 LLM's caveman era - tool usage6:46 Agents have autonomy and interact with environment11:15 workflows and agentic flows15:30 when should you be using an agent?24:27 vibe coding is like driving a car29:07 Demo - MANUS gathering financial trends, computer control35:55 Demo MANUS AI- website creation for Autism Assessment49:05 computer control factions- Freedom vs Process automation55:00 Autism website testing59:13 summary + endHosts:👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokrFind us on:YT - https://youtube.com/@DevAndDocSpotify - https://podcasters.spotify.com/pod/show/devanddocApple- https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120Substack- https://aiforhealthcare.substack.com/For enquiries:📧Devanddoc@gmail.comCredits:🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d

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. 👋 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 🤖 Dev - Zeljko Kraljevic - Twitter ⏳ 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 YouTube Spotify Apple Podcasts Substack 📧 Contact Us For enquiries - devanddoc@gmail.com 🎞️ Video Production 🎬 Editor - Dragan Kraljević - Instagram 🎨 Brand Design & Art Direction - Ana Grigorovici - Behance

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 🤖 Dev - Zeljko Kraljevic - Twitter Where to Follow Us LinkedIn Newsletter YouTube Spotify Apple Podcasts Substack Contact Us 📧 For enquiries - Devanddoc@gmail.com Credits 🎞️ Editor - Dragan Kraljević - Instagram 🎨 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 Google’s Problem Decomposition 53:32 Anthropic’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

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 👋 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-auyeung/ 🤖 Dev - Zeljko Kraljevic - https://twitter.com/zeljkokr LinkedIn Newsletter YouTube Channel Spotify Apple Podcasts Substack For enquiries - 📧 Devanddoc@gmail.com 🎞️ Editor - Dragan Kraljević - https://www.instagram.com/dragan_kraljevic/ 🎨 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

Doc talks to Dr Derrick Khor - Cancer Doctor, HealthTech Consultant and Linkedin Guru. We share Derrick's insights from consulting over 120 companies and a step-by-step guide on how to build a successful Healthcare company. You can find more of Derrick and his helpful guides - https://adoptadoc.com/resources/ profile- https://www.linkedin.com/in/derrick-khor/ 👋 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 :) Dev&Doc is a podcast where doctors and developers deep dive into the potential of AI in healthcare. 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung 🤖Dev - Zeljko KraljevicLinkedIn NewsletterYouTubeSpotifyAppleSubstack For enquiries - 📧 Devanddoc@gmail.com <p>🎞️ Editor - <a href="https://www.instagram.com/dragan_kraljevic/">Dragan Kraljević</a></p> <p>🎨 Brand design and art direction - <a href="https://www.behance.net/anagrigorovici027d">Ana Grigorovici</a></p> Timestamps 00:00 Highlights and intro 3:01 Start 5:10 getting into health tech 8:03 lack of clinicians in start ups 15:07 Derrick's own healthtech journey to consulting 23:37 Start ups and failure 27:35 the start up road map 32:16 are you a medical device (samd)? Intended use 40:55 clinical evidence generation 48:16 go to market, NHS DTAC 57:57 power of networking, social media, linkedin 1:02:43 top UK health tech companies to look out for

Dr Keith Grimes is a HealthTech consultant and General Practitioner working with companies to transform clinical ideas into something impactful. He worked as the digital health director in Babylon Health prior to its demise, and currently runs his own consulting firm, Curistica. This is one not to miss! References HealthTech consulting at Curistica www.curistica.com Prof Amanda Goodall on leadership theory https://amandagoodall.com/ For those interested in Leadership opportunities: -Faculty of medical leadership and management https://www.fmlm.ac.uk/ -Bite labs https://www.bitelabs.io/ <p>Dev&Doc is a podcast where doctors and developers deep dive into the potential of AI in healthcare.<br> 👨🏻‍⚕️Doc - <a href="https://www.linkedin.com/in/dr-joshua-auyeung/">Dr. Joshua Au Yeung</a><br> 🤖Dev - <a href="https://twitter.com/zeljkokr">Zeljko Kraljevic</a><br> <a href="https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7216474068085026817">LinkedIn Newsletter</a><br> <a href="https://youtube.com/@DevAndDoc">YouTube</a><br> <a href="https://podcasters.spotify.com/pod/show/devanddoc">Spotify</a><br> <a href="https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120">Apple</a><br> <a href="https://aiforhealthcare.substack.com/">Substack</a><br> For enquiries - 📧 <a href="mailto:Devanddoc@gmail.com">Devanddoc@gmail.com</a> </p> 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ 🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d Timestamps 00:00 start 1:10 Career career career - GP, babylon health, digital consultancy 6:40 working as a rural GP in Scotland 9:21 time is the biggest factor of clinical impact 12:11 finding impact through data 21:29 leading by example 23:52 Should doctors be leading healthtech businesses? 30:10 why do healthtech start-ups not have clinicians earlier? 36:30 Babylon failure - importance of having clinical influence at the top 43:55 experience being grilled on BBC newsnight 49:45 lessons learnt from the downfall of Babylon 52:25 6 values of consulting firm Curistica 55:51 common problems in start ups 59:36 how AI will change the healthcare landscape

In this special episode we share a live recording of our live podcast episode at the Rewired UK conference, where NHS, industry and policy markers unite. We discuss current LLMs from a technical and practical perspective. Dive into how to build Foundational models for the National health service and our experiences. We were also privileged to be joined by head of digital at Cambridge University Hospital NHS trust, Dr. Wai Keong Wong on how to evaluate AI products and discussions on automating administrative tasks for clinicians with ambient clinical documentation. 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ 🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr The podcast 🎙️ 🔊Spotify: https://podcasters.spotify.com/pod/show/devanddoc 📙Substack: https://aiforhealthcare.substack.com/ 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 :) 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ 🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d 00:00 intro 02:05 AI vs doctors - are language models ready to replace doctors? 05:22 the tranformer models and attention 08:51 human labour for reinforcement learning 11:00 building the NHS LLM, key concepts 13:55 foresight GPT - predicting the next clinical event in a patient timeline. 16:29 is text enough? 17:19 £3.8B investment into NHS digitisation and admin automation - ambient clinical documentation 20:14 how do you evaluate AI products for the NHS? 26:24 how do you vet the tech companies and future proof your purchase? 27:23 do clinicians need more digital health education? 28:41 transparency of AI models and benchmarks 31:30 question - EHR data created by AI leads to homogenisation and errors 34:03 question - training on structured vs unstructured EHR data 38:06 question - LLMs as a brain. How do we give it a body? 41:05 framework for ai deployment

How do we align AI models for healthcare? 👨‍⚕️ And importantly, the moral codes and ethics that we practice everyday, how does the LLM deal with ethical scenarios like the trolley problem for example? This is a fascinating topic and one we spend a lot of time thinking about. In this episode Dev and Doc, Zeljko Kraljevic and I cover all the up to date topics around reinforcement learning, the benefits and where it can go wrong. We also discuss different RL methods including the algorithms used to train ChatGPT (RLHF). Dev and Doc is a Podcast where developers and doctors join forces to deep dive into AI in healthcare. Together, we can build models that matter. 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua... 🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr The podcast 🎙️ 🔊Spotify: https://open.spotify.com/show/3QO5Lr3... 📙Substack: https://aiforhealthcare.substack.com/ 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 :) 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kral... 🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovic...00:00 Highlights 01:27 start 4:38 aligning ethics of ai models 7:04 doctors ethical choices daily 8:00 RLHF and AI training methods 16:29 reinforcement learning 19:35 Preference model -rewarding models correctly can make or break the success 27:05 exploiting reward function, model degradation (and how to fix it) Ref AI intro paper - https://pn.bmj.com/content/23/6/476 Open AI RLHF paper - https://arxiv.org/abs/1909.08593 War and peace of LLMs! - https://arxiv.org/abs/2311.17227

Dev And Doc are back ! Here we break down the biggest highlights of 2023, and AI predictions for 2024. Dev and Doc is a Podcast where developers and doctors join forces to deep dive into AI in healthcare. Together, we can build models that matter. 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ 🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr 00:00 start 01:01 Intro, Advancing LLMs in healthcare 07:10 Ambient note documentation in Medicine 10:52 Meta LLaMa are the good guys ? 14:40 GPT store 19:40 Overhyped Google Gemini model 26:17 AGI again 29:05 6 big predictions Open source vs Closed source models 38:55 AI in healthcare- LLM clinical trials , AI drug discovery 42:05 end References GPT store- https://openai.com/blog/introducing-the-gpt-store Hugging face predictions- https://twitter.com/ClementDelangue/status/1729158744762626310 AI drug discovery (blog post to paper) - https://news.mit.edu/2023/using-ai-mit-researchers-identify-antibiotic-candidates-1220 Google AMIE blog - https://blog.research.google/2024/01/amie-research-ai-system-for-diagnostic_12.html The podcast 🎙️ 🔊Spotify: https://open.spotify.com/show/3QO5Lr3w4Rd6lqwlfKDaB7?si=e7915d844994403e 📙Substack: https://aiforhealthcare.substack.com/ 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 :) 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ 🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d

In this episode, Dev and Doc sit down to discuss artificial general intelligence from the perspective of a neurologist and computer scientist. We dive into the current developments around AGI , the 2 controversial schools of thought, LLMs and neuroscience, and give hot takes about whether we will ever reach AGI. Dev and Doc is a Podcast where developers and doctors join forces to deep dive into AI in healthcare. Together, we can build models that matter. 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ 🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr 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 :) 00:00 start 01:05 intro 03:46 two camps of AGI - Yann Lecun vs Geoffrey Hinton, Architecture vs Data 07:47 Do emergent capabilities of LLMs pose a threat to humanity? 08:45 Intelligence and AGI - neuroscience and computer science approach 16:59 LLMs vs the human brain 24:16 Do AIs need a human touch? - Intrinsic personalities, temperaments, motivations, joy and reward The podcast 🎙️ 🔊Spotify: https://open.spotify.com/show/3QO5Lr3w4Rd6lqwlfKDaB7?si=e7915d844994403e 📙Substack: https://aiforhealthcare.substack.com/ 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ 🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d