Dev and Doc: AI For Healthcare Podcast

What is the current state of healthcare in the UK, is it ethical for patients to use LLMs for their healthcare ? 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. 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 00:25 Intro 01:25 A personal account of the current state of healthcare 05:18 Did the covid pandemic really make a difference? 08:30 The NHS elective waiting list - 7.7 million patients and counting 12:04 Ghost patients - a data conundrum 13:55 BBC hospital waiting time tracker, ambulance wait times 19:00 Using AI / NLP to tackle elective lists 19:50 Patients will use tech like LLMs and ChatGPT to self diagnose 22:00 Symptoms need to be explored 26:10 data distribution on the web is skewed 28:50 Is it permissible to use LLMs in healthcare? 32:35 Directions for the future 35:20 ending 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 Refs BBC wait tracker - https://www.bbc.co.uk/news/health-59549800 NHS waiting list, health foundation- https://www.health.org.uk/waiting-list

As the AI safety summit nears in England, the UK positions itself as a leader in AI safety, but what does this mean? Is AI safety all about preventing doom for the human race ? 🤖Dev and doc👨🏻‍⚕️ are here to break down this fascinating topic. 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 intro 01:28 Start 06:30 AI safety definition 10:21 AI safety vs AI regulation 13:05 UK positions itself as a leader in the AI safety summit (featuring Rishi Sunak) 15:50 AI safety summit - responsible scaling 16:50 what does this mean for an AI researcher? When should we slow down research? 19:40 Yann Lecunn- we will get nowhere by simply scaling. The transformer architecture will NOT lead to AGI 25:30 Tackling AI safety with model evaluation,red teams and ethical hackers 33:36 Trusts sharing data, federated learning platform, over-regulation 38:57 google already has all of your data 41:49 there is a lack of research on AI safety 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

🤖Dev and doc👨🏻‍⚕️ introduces large multimodal models. ✨ The potential of LMMs combining text and images seem limitless, but what's the catch? 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 00:32 intro 02:20 what is multimodality? And what are the potentials? 09:43 Large multimodal models paper deep dive (radiology) 18:43 paper deep dive 2 (pathology) 20:40 large multimodal models technical overview, exploration of other LMMs 31:40 Foundational models explanation 35:18 the model transparency index 36:20 Google PaLI-3, light weight models vs large Foundational models 43:04 Summary 44:15 the problems and work to be done for LMMs - hallucinations, inconsistencies, biases, security 49:20 A call for better evidence generation and trials with LMMs 53:00 final points - improving visual spatial recognition, thoughts for future 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

How should one get into AI and Health tech? Here Doc offers the top 5 tips. Are you someone who is looking into AI and health tech? Or someone who is already in the field ? Share your thoughts and journey with us! 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 00:25 intro 02:05 why do developers not want to get into healthcare (shock) 05:45 what does Dev and Doc love about healthcare 09:20 AI is a multiplicator ------- 5 tips to get into health tech / AI----- 10:32 how a doctor can get into AI 10:40 1.AI is a collection of many topics and skills 13:23 should I learn to code ? 15:25 2.Understanding your intention 26:20 3.find a project 28:30 4.Find a team 31:54 5.Perseverance References: - https://discord.com/invite/hugging-face-879548962464493619 [Huggingface] - https://discord.com/invite/Mw77HPrgjF [Chipro] - https://www.reddit.com/r/learnmachinelearning/ - https://www.datacamp.com/ - https://www.kaggle.com/ - https://www.coursera.org/ - https://www.youtube.com/@AndrejKarpathy

The discussion kicks off with the essential role of AI in transforming healthcare delivery. Speakers share insights on how modern doctors are increasingly stretched for time and the potential AI has to enhance their efficiency. Innovations like AI super doctors promise to revolutionize diagnostics and patient interaction. Venture capital investments in AI startups are on the rise, fueling exciting use cases. Ethical considerations around AI's role in mental health and patient care highlight the need for a balanced approach. Overall, it's a promising glimpse into the future of healthcare.

<p>What does it mean for a doctor to diagnose a patient? Can an AI (GPT model) learn to diagnose a patient, and even out-diagnose a doctor? Can we use AI to predict the future?</p> <p>Try the Foresight GPT demo here: <a href="https://foresight.sites.er.kcl.ac.uk/">foresight.sites.er.kcl.ac.uk</a></p> <p>Like what you're hearing? Support us by subscribing and reaching out to us. We want to encourage open discussion between clinicians and developers.</p> <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> Timestamps: 00:00 Start 00:49 Intro 02:18 How does a doctor diagnose? 06:27 LLM trained on medical school vs real clinical scenarios 10:54 Do you have time to see every patient (in detail)? 13:44 A doctor's day 22:28 Which doctor's jobs can be automated? 27:41 When you train models on the wrong goal (misalignment) 31:01 Low hanging fruit - GPT / LLM text summarisation , administrative tasks 37:25 What tools are helping doctors right now? 40:35 How does a doctor prognosticate? How are risk scores created? 49:05 Foresight- Using AI to Predict the Future 58:31 GPT graduates from medical school. GPT starts working in a hospital 1:02:25 Why are big tech not building the next real-world medical LLM? 1:04:44 Using AI to predict the future. Foresight GPT demo 1:10:18 predict diagnosis respiratory infections, COVID-19 1:11:40 predicting obstructive sleep apnoea 1:14:12 predicting polycystic kidney disease 1:18:01 wrap up <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>

Discover the potential and pitfalls of large language models in healthcare. The hosts share their eye-opening experiences with AI chatbots, weighing their capabilities against their limitations. Delve into the evolution of language models and explore the critical importance of high-quality training data. The conversation also touches on the philosophical implications of AI behavior and the ongoing challenges in medical diagnostics. Join the exploration of how AI could transform clinical interactions while addressing pressing concerns.

Dr. Joshua Au Yeung, a doctor delving into AI's healthcare potential, and Zeljko Kraljevic, a developer at the tech-med intersection, dive into Named Entity Recognition (NER). They discuss its exciting applications like clustering a million hospital patients and improving pandemic monitoring. The duo highlights challenges faced by NER in clinical audits, the role of neural networks, and the importance of clinician collaboration. Insights shared also reveal resistance to AI in the NHS, hinting at a transformative future for healthcare.

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 Kraljevic The podcast 🎙️ 🔊Spotify- https://sptfy.com/OMmV Join the Dev&Doc movement: 🏃 https://aiforhealthcare.substack.com/ Timestamps: Start 00:00 Introduction 00:28 The idea 01:20 Target audience 2:46 Start of the AI journey 04:15 Medical school and Computer science degrees 05:25 Background of Dev and Doc 05:51 Dev goes into healthcare 07:17 Doc goes into AI 09:20 Neurology, a second love 12:22 What to expect, NLP, large language models, NER, generative AI 13:16 The main goal of the podcast 16:11 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ 🎨Brand design and art direction - Ana Grigorovici Reach out - 📧Devanddoc@gmail.com LinkedIn - https://shorturl.at/esEKO