Dev and Doc: AI For Healthcare Podcast

Do big frontier models outperform narrow AI tools? Here we look into the healthcare domain, where a paper titled "General-purpose large language models outperform specialized clinical AI tools on medical benchmarks" was making headlines. The paper seemed to suggest that frontier LLMs from OpenAI and Gemini appeared to outperform more specialised clinical AI tools. However, there is more than meets the eye here. In this episode Dev and Doc deep dive into the fascinating debate of whether generalised LLMs do indeed outperform smaller specialised models.

👋 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 :)

2:25 intro - Does the convention still hold?
7:05 what about coding? How general is a task
8:38 data availability - Healthcare's data dichotomy
11:14 OpenEvidence Nature paper start
12:33 Context from a Doctor before AI
21:58 paper break down - benchmarks methodology
31:59 how to design clinical rubrics
34:22 OpenEvidence rebuttal
37:20 Conclusion & discussion
46:59 how to improve the research

To support us buymeacoffee.com/devanddoc

👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/
🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr

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

🎞️Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/
🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d

Dev and Doc are back after a Hiatus! We've been busy, but we are back to discuss Claude Fable 5, Anthropic's most powerful LLM yet.
Despite its impressive benchmark-crushing performance, the model has a few problems around anxiety, privacy, cheating in testing environments and overguardrailing. It's going to be a fun one :)
👋 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/ Life updates
05:47 Introduction to Fable / Mythos
10:04 System card - benchmarks, alien languages
13:22 Anthropic’s fear-mongering led to regulation
18:00 Our thoughts - Quality of outputs, personality traits, anxiety
30:20 Some other advances- awareness of training environment, healthcare
To support us:
buymeacoffee.com/devanddoc
Hosts:
👨🏻‍⚕️ Doc - Dr. Joshua Au Yeung - LinkedIn
🤖 Dev - Zeljko Kraljevic - Twitter
Links:
YT - https://youtube.com/@DevAndDoc
Spotify - https://podcasters.spotify.com/pod/show/devanddoc
Apple - Apple Podcasts
Substack - https://aiforhealthcare.substack.com/
For enquiries - 📧 Devanddoc@gmail.com
Credits:
🎞️ Editor - Dragan Kraljević Instagram
🎨 Brand design and art direction - Ana Grigorovici Behance

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 engagement
54:45 Psychosis bench- benchmarking AI Psychosis propensity in LLMs
1:04:40 What can we do about it?

To support us:
buymeacoffee.com/devanddoc

👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - LinkedIn
🤖Dev - Zeljko Kraljevic - Twitter/X

Follow us:
YT - YouTube
Spotify - Spotify
Apple - Apple Podcasts
Substack - Substack

For enquiries: 📧 Devanddoc@gmail.com

🎞️ Editor - Dragan Kraljević - Instagram
🎨 Brand design and art direction - Ana Grigorovici - Behance

2026 is going to be a big year. 2025 was the year of AI agents, voice, and more intelligent autonomous large language models. Now, some massive changes are coming — including big tech's grab for healthcare, the rapid progression of robotics, and new world models that will usher in a new era of AI applications.
Join academic and industry experts Dev and Doc as they delve into the biggest predictions in AI healthcare for 2026. You heard it here first! :)
👋 Hey! If you are enjoying our conversations, reach out and share your thoughts and journey with us. Don't forget to subscribe whilst you're here!
— Timestamps —
00:00 Intro
01:02 What are you using AI for right now?
11:43 AI Scribe wars: Who will win?
14:44 Which Big Tech will lead 2026?
16:52 Isomorphic Labs and AI drugs
18:09 Healthcare grab from big tech companies
22:54 Self-play models on the rise
26:48 Will Academia contribute more?
28:15 2026: The year of world models (and what it means for us)
30:36 Robotics advancements in 2026
32:43 Digital twins (coming from us, hopefully!)
33:00 Will a breakthrough change what we do?
35:45 The fall of Hippocratic AI
— Meet the Hosts —
👨🏻‍⚕️ Doc: Dr. Joshua Au Yeung - LinkedIn
🤖 Dev: Zeljko Kraljevic - X (Twitter)
— Connect with Us —
📺 YouTube: DevAndDoc
📻 Spotify: Listen Here
🍎 Apple Podcasts: Listen Here
📧 Substack: Read our Newsletter
For enquiries: 📧 Devanddoc@gmail.com
— Credits —
🎞️ Editor: Dragan Kraljević - Instagram
🎨 Brand Design: 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 Episode
It'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 Highlight
01:06 Ambient: Biggest game changer
04:01 Open Source will catch up to closed source
09:20 Big AI companies will fail
10:52 There will be more trials involving large language models
13:55 Industry will lead progress
19:36 LLMs are not going to replace therapists or doctors
22:17 AI psychosis and big tech
27:19 People with AI replace people without AI
29:12 Radiology AI will become more widespread
31:00 Dev was way too optimistic about OpenAI; Google is coming for you
33:05 Predictions we missed: GOOGLE KILLED EVERYONE
37:10 Uprising of China Open source, xAI
39:15 RAG-based search products like OpenEvidence, MedWise (UK), Prof Valmed
The Team:
👨🏻‍⚕️ Doc - Dr. Joshua Au Yeung: LinkedIn
🤖 Dev - Zeljko Kraljevic: Twitter/X
References:
• Nuraxi: https://www.nuraxi.ai/
• EU's Earth twin: https://destination-earth.eu/
• Blog on language representation of biology: Read here
• Foresight GPT: The Lancet
Connect With Us:
📺 YouTube
🍎 Apple Podcasts
✉️ Substack
📧 Enquiries: Devanddoc@gmail.com
Credits:
🎞️ Editor: Dragan Kraljević (Instagram)
🎨 Brand Design: Ana Grigorovici (Behance)