Your Surgeon Could Be an Algorithm - Dr Max Feinstein, Hit Medical YouTuber
Dr. Max Feinstein is a pediatric cardiac anesthesiologist and notably, a successful YouTuber. He has written on topics like AI’s role in future healthcare, vaping’s impact on anesthesiology, and recognizing burnout in medicine. Outside of the operating room, he somehow balances fellowship training, teaching, clinical work, and producing popular YouTube videos, demystifying anesthesia. Today we talk about his winding career path, vision for AI in the operating room, and the ethical implications of technology in modern medicine.00:00 - Intro1:16 - From majoring in philosophy to becoming an anesthesia resident 3:33 - Why medicine? Being a wilderness first responder 7:26 - Narrowing down a specialty - anesthesiology vs infectious disease10:17 - What’s wrong with infectious disease?11:46 - Why peds cardiac anesthesiology?17:20 - Working and living in a soup kitchen in Colombia22:29 - Who are all these people interested in anesthesia!?27:00 - How Max makes videos31:08 - We already have AI in anesthesia except… 46:56 - Future job market of anesthesia50:36 - Consciousness and anesthesia54:28 - Will AGI really help us?56:53 - Ensuring patient safety in anesthesia58:13 - Could AI make burnout worse?1:02:36 - What gives your life meaning?1:04:51 - Advice for Medical StudentsYouTube - @MaxFeinsteinMDHost: Nathan KellerTwitter: @NathanKellerX Linkedin: https://www.linkedin.com/in/nathankeller1/Producer: Saurin KantesariaLinkedin: https://www.linkedin.com/in/saurin-kantesaria-0a464999
--------
1:17:15
David Wu - Residency, Clinical AI, and the Rapper Who Never Was
Welcome back David! Dr. David Wu co-founded our podcast back in the height of COVID and is now a radiation oncology resident at Stanford and advisor to an LLM-based startup called Jaide. Since our founding David has been a driving force in communicating the happenings in the medicine and machine learning space and we are excited to talk about his latest efforts in contributing to this area. Jaide uses patient reported outcomes to give physicians access to predictive modeling on disease evolution and eases physician documentation burden using state-of-the-art large language models. 00:00:00 - Introduction 00:01:31 - From feeling aimless after undergrad to a Stanford resident and advisor for an AI startup (Jaide)00:05:31 - The beginnings of Jaide: Using LLMs to document patient outcomes 00:07:57 - LLMs in action - the first clinical trial in Brazil00:11:03 - How do you use Jaide? 00:12:30 - Could LLMs take away key skills from physicians’ training?00:15:14 - What if Step 1 was the entry exam to med school? 00:18:10 - What drew you to Stanford?00:21:11 - Have you faced criticism/self doubt about pursuing so many things outside of traditional medicine? 00:23:08 - Why rad onc?00:26:20 - Best/worst med school and residency experiences - “I’m just gonna become a monk and retire” 00:29:33 - Will AI replace doctors? AI isn’t even close in this one area.00:35:06 - The double edged sword of AI00:38:41 - How did you choose a specialty? Is the impact of AI important? 00:39:45 - What got you into hip hop/rap? - “Artists make meaning out of suffering” 00:43:45 - What gives your life meaning?00:46:55 - What advice do you have for younger people concerned about the impacts of AI on medicine?Jaide - jaide.careTwitter - @davidjhwu Host: Nathan KellerTwitter: @NathanKellerX Linkedin: https://www.linkedin.com/in/nathankeller1/Producer: Saurin KantesariaLinkedin: Saurin Kantesaria
--------
49:11
Dr. Steven Hart - From factory worker to leader in AI and Digital Pathology at Mayo Clinic
Dr. Steven Hart is a Senior Associate Consultant in AI at Mayo Clinic who has played a key role in shaping genomics and digital pathology with GenomeGPS, Mayo Clinic’s primary DNA sequencing workflow. His groundbreaking contributions have led to advancements in understanding inherited cancer risk and improving digital pathology workflows. With over 100 peer-reviewed publications, Dr. Hart’s innovative algorithms are driving efficiency in genetic predisposition testing, reducing unnecessary procedures, and enhancing precision healthcare.We had some audio issues for this one which we tried to fix but they're still pretty apparent so apologies for that D:! 00:00:00 - Introduction 00:01:09 - From a factory worker to a leader in AI and medicine00:05:11 - Proving people wrong as a motivator00:06:37 - Crazy factory stories00:07:38 - Why Mayo Clinic?00:09:52 - Surprising things about Mayo Clinic00:11:33 - Is Mayo Clinic’s data high quality?00:12:55 - How to prepare healthcare for AI (and why AI won’t actually have the biggest impact)00:20:50 - Democratizing pathology with AI 00:25:38 - Will AI replace pathologists?00:29:24 - How do you judge how well an embedding works? 00:33:22 - Reducing expectations for diagnostic AI usage in healthcare00:36:46 - How do you keep up with the rapidly evolving pace of AI?00:38:31 - OpenAI o1 and prompt hacking 00:41:27 - Are we close to artificial general intelligence? 00:47:03 - How helpful are regulatory agencies like the FDA with translating AI?00:49:52 - What makes a good question?00:53:33 - Favorite parts about living in Rochester, MN00:55:14 - What gives your life meaning? 00:58:36 - Advice for young people in uncertain timesHost: Nathan KellerTwitter: @NathanKellerX Linkedin: https://www.linkedin.com/in/nathankeller1/Producer: Saurin KantesariaLinkedin: Saurin Kantesaria
--------
1:01:05
Ran Shaul - K Health: A Doctor in Your Pocket
Ran Shaul is the chief product officer and co-founder of K Health. With his robust background as a successful founder, Ran has been pivotal in transforming how we approach medical diagnostics and personalized treatment. Under his leadership, K Health has developed innovative AI-driven solutions, including a partnership with Cedars-Sinai and Mayo Clinic. Ran's dedication to improving the patient experience by leveraging technology is reshaping healthcare delivery, making it more efficient and accessible.
Host: Nathan Keller
Twitter: @NathanKellerX
Linkedin: https://www.linkedin.com/in/nathankeller1/
Producer: Saurin Kantesaria
Linkedin: Saurin Kantesaria
00:00 - Introduction
00:52 - What are 3 patient questions doctors and AI should help answer?
03:26 - Why does ChatGPT fall short in diagnosing patients?
07:30 - AI does the tedious stuff so doctors can focus on medicine (K Health’s model)
09:29 - Combing through 400,000,000 unstructured doctor’s notes
11:53 - How do you ask the right clinical questions with AI?
15:41 - Putting a clinician in the loop of AI learning
19:21 - “You can have the perfect algorithm…it does not mean it will be used properly in any clinical setting”
23:27 - The difficulties transitioning from leading a startup to a larger company
26:56 - Telemedicine 2.0 - integrating 24/7 online care with brick and mortar hospitals (Cedars-Sinai Virtual Platform)
31:32 - AI can go further than notes - helping physicians proactively manage patients
39:07 - What gives your life meaning?
42:56 - What advice do you have for young people?
--------
46:09
Robert Dürichen - Future of Medicine, AI, Patient Data
Dr. Robert Dürichen leads the machine learning analytics team at Arcturis Data, a company focused on processing and analyzing large-scale electronic health record (EHR) datasets. His current research uses small and large language models to enrich EHR datasets from unstructured patient notes and improve quality through standardization techniques.
Hosts: Nathan Keller + Madeline Ahern
Twitter: @NathanKell57664 + @maddie_ahern
Audio/Video Editor + Art: Saurin Kantesaria
Linkedin: Saurin Kantesaria
Intro 0:00
Who is Robert Durichen? 1:29
What is Arcturis? 6:25
How can machine learning speed up clinical trials? 9:43
Typical Arcturis Project 12:06
Progression of Machine Learning 24:45
AI Taking Jobs 29:50
What is Arctex? 33:50
Who works at Arctex? 38:55
Future of Arcturis 40:58
What gives your life meaning? 43:30
Advice for young people on maintaining a work-life balance 44:26
About The MaML Podcast - Medicine & Machine Learning
The MaML Podcast is brought to you by medical residents, grad students, and med students passionate about the new frontier of healthcare and AI. We feature interviews with prominent figures in industry, academia, and medicine. This podcast is designed for anyone with a budding interest in the field.
Created by David JH Wu, Aaron Schumacher, and Saurin Kantesaria.
Hosts: David JH Wu, Maddie Ahern, Nathan Keller
Producer: Saurin Kantesaria
Media: Nikhil Kapur
Message us! contact@themamlpodcast.com
Support this podcast: https://podcasters.spotify.com/pod/show/maml-podcast/support