The MaML Podcast - Medicine & Machine Learning

Daniel Tse, MD, is a product manager at Google Health. In this episode, we talk about his unconventional path to healthcare and AI, and discuss the career angst that many may feel when they wonder that if the path they are on is the right path. I can’t say that we’ve discovered the perfect answer in this interview, but I will say that Dr. Tse is someone who has thought deeply about this question as you can see from his unique career and will probably provide some good words of advice. Had a real pleasure recording this interview. Hope you all enjoy! Interviewer: David Wu Producer: Aaron Schumacher 1:30 Childhood + Budding Interest in Computers 8:00 Path to medicine 12:00 Working at a healthcare startup during medical school 20:00 Working at Google after graduating medical school 30:00 Comparing and contrasting Google with an academic research lab 35:00 MD training + how it relates to working at Google 38:00 What does a product manager do? 45:00 What do you expect is the future of AI + medicine? 49:00 What advice would you give to your 25 yr old self? 52:00 Advice to people who are questioning whether medicine is the right path for them

Jack Moore is a product manager at Qventus, a healthcare start-up based out of Mountain View, California. In this episode, we go into depth about how he and his team are using machine learning to improve the efficiency of hospitals such as the University of Minnesota’s MHealth system. One example we discuss is how Qventus builds and deploys models to improve patient care and reduce ICU bed wait times. At the end, we spend time talking about bias and race in medicine and how we can use AI to combat the propagation of such biases. Interviewer: David Wu Producer: Aaron Schumacher Time Stamps: Path to healthcare AI and Qventus: 01:00 What does Qventus do 04:15 Story behind Qventus 09:00 What if the AI model and physicians disagree? 15:00 Structure of the Qventus AI models + explainability 21:00 Integration with Epic 30:00 What Qventus use looks like as a provider 36:00 Cool definition of data science 42:00 AI to reduce health inequalities and racial bias in medicine 58:00

Miguel Alvarado is the CTO of Lumiata, a healthcare AI company based in SF. In this episode, we talk about Miguel’s unconventional journey from Microsoft in the 90s all the way up until the present moment where he is helping bring the power of big data and AI to patients, providers, and insurers. Just like Bruce Wayne, Miguel works during the day, but at night, has an alter ego. we will talk about his passion as an underground house and techno DJ and finally, we will close with a conversation about the importance of being present. I had a real pleasure conducting this interview with Miguel and I hope you enjoy it. 00:00 Intro 02:00 Beginnings 12:30 What does Lumiata do 23:40 Synthetic Data 30:00 Explainability in models 34:00 what do you think is the future of AI in medicine 40:00 the importance of being present 44:00 the importance of having other passions 51:00 dj’ing, techno, and being fully present 55:00 machine learning and.. music?!

Welcome to the very first episode of the Medicine and Machine Learning Podcast, AKA the MaML Podcast brought to you by the Medicine and Machine Learning Club of the University of Minnesota Medical School. We are a group of students passionate about learning more about the future of medicine and AI. This Podcast will feature interviews from prominent figures in academia, industry, and medicine exploring the cutting edge of healthcare’s newest frontier: medicine & machine learning. My guest today is Dr. Christopher Weight, the new Director of Urologic Oncology at the Cleveland Clinic. In addition to this role, Dr. Weight is currently helping build a new center for AI and Medicine at the Cleveland Clinic. In this episode, we will be talking about his unique path in medicine and how it led to building one of the largest and most comprehensive kidney cancer imaging datasets we have today.