Welcome back to the third season of the medicine and machine learning podcast! We are kicking off our year with a very unique episode. Our "guest" is ChatGPT! ChatGPT is an artificial-intelligence chatbot developed by OpenAI and launched in November 2022. Since its launch, ChatGPT has been an internet and media sensation. Usage is currently freely available to the public because ChatGPT is in its research and feedback-collection phase. This open interface has been hugely influential in bringing public attention to how AI can be used as a multidisciplinary resource. In this episode, the MaML team asked some fun questions of ChatGPT and gave the answers a voice with text-to-speech software!

Don’t forget to follow us on twitter @themamlpodcast!

contact@themamlpodcast.com

Host and Producer: Madeline Ahern / Twitter @maddie_ahern

Host: David Wu / Twitter: @davidjhwu

Host: Raeesa Kabir

Artwork: Saurin Kantesaria

Music: Caligula - Windows96. Used with Artist's Permission.

00:40 GPT-4's Intro

01:40 The "Path" of ChatGPT

03:20 ChatGPT's advice for passing STEP exams

07:25 GPT-4 Tackles an Ethics Question

12:00 GPT-4 Tackles a STEP 1 Practice Question

14:44 GPT-4 Tackles a Clinical Scenario

19:02 ChatGPT has passed the boards, how would it do on CASPer?

20:15 The future of AI in medicine

27:31 Closing Remarks

Dr Matthew Lungren is the Chief Medical Information Officer at Nuance Communications, a Microsoft Company. As a physician and clinical machine learning researcher, he maintains a part-time interventional radiology practice at UCSF while also serving as adjunct faculty for other leading academic medical centers including Stanford and Duke. Prior to joining Microsoft, Dr Lungren led the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI).

This interview offers great insight for anyone who is interested in non-traditional career paths in medicine at the cutting edge of the MaML space. I hope you all enjoy!

and don’t forget to follow us on twitter @themamlpodcast!

contact@themamlpodcast.com

Host: David Wu / Twitter: @davidjhwu

Producer: Aaron Schumacher / Twitter: @a_schu95

Artwork & Video: Saurin Kantesaria

Music: Caligula - Windows96. Used with Artist's Permission.

00:40 Could you tell us about your path coming to the intersection of medicine and artificial intelligence?

07:00 What literature are you a fan of?

08:50 Where will the next great American Author come from?

14:00 Tell us about your work with Nuance.

17:50 Could you tell us the background of Nuance and Dragon Dictation?

19:55 Tell us about Nuance products that are offered.

23:45 How much code should future physicians know?

28:30 What is a typical day like as chief medical officer

31:30 Do you have any advice for medical students interested in nontraditional career paths?

34:30 How do you balance clinical practice and industry work?

40:40 What are you excited about most in the next 10-20 years?

44:15 How has mentorship shaped your path?

46:08 What advice would you give yourself at your medical school graduation?

Dr. Kaz Nelson is a Fellow of the American Board of Psychiatry and Neurology and serves as Associate Professor in the Department of Psychiatry and Behavioral Sciences and the Associate Designated Institutional Official in the Office of Graduate Medical Education at the University of Minnesota Medical School. She is also host of “The Mind Deconstructed.” In this podcast, Nelson and her brother George dispel myths, address listener questions, and inform the public about mental health and a life worth living.

Connect with Dr. Nelson on the following platforms:

Twitter: @kazjnelson

Facebook: @kazjnelson

Youtube: The Mind Deconstructed

Host: Madeline Ahern @maddie_ahern

Producer: Kirsi Oldenburg

Artwork & Video: Saurin Kantesaria

Music: Caligula - Windows96, Used with artist permission

01:13 Introduction - Dr. Kaz Nelson

06:20 Sacrifices of Physicians (and their families)

08:25 Limitations of the Mental Health System

13:00 AI Chatbots: Helpful or Harmful?

23:00 High-Acuity Care and Psychiatric Crises

30:30 First Interactions with the Mental Health System

37:10 The Mind Deconstructed

43:45 The Future of AI, Chat GPT

47:30 The Pull of the Status Quo

53:24 Advice to our Listeners

Dr. John Sargent: Dr. John Sargent is the co-founder of BroadReach Group and an internationally recognized thought leader who brings extensive experience in health systems strengthening large-scale patient education programs and the creation and implementation of public-private partnerships in emerging markets. Prior to co-founding BroadReach Group, he obtained his Doctor of Medicine from Harvard Medical School and gained experience as a strategic and operational consultant with expertise spanning multiple disease areas across public and private health sectors.

Annika Krugel: Annika Krugel is the Client Director for Vantage Health Technologies, which is a platform from BroadReach that uses AI to aggregate all data in an area or a clinic and then give individualized decision support, operational tools, and step-by-step workflows to empower healthcare workers. Annika has a Master’s Degree in Development Studies and has 15 years of experience across civil society and the public- and private sectors in various roles but always in a coordinating capacity.

1:15- Journey to the intersection of medicine and

9:00- Foundation of the BroadReach Group and current work

23:00- Inception of Vantage Health Technologies

25:20- Vantage Health Technologies’ role in the pandemic response

35:30- BroadReach Group and Vantage Health Technologies’ overall work across the globe

37:00- Future work

45:00- Future of big data and AI in medicine

50:30- Ensuring patient data privacy and security

52:30- Advice and ending thoughts

Dr. Joe Zhang is an Intensive Care doc and health data scientist. He holds a Wellcome Trust fellowship in health informatics and artificial intelligence (AI) at Imperial College London. He has extensive experience in developing and deploying informatics and data solutions in the NHS, and is currently working at the intersection of data science, policy, and infrastructure.

contact@themamlpodcast.com

Host: David Wu / Twitter: @davidjhwu

Producer: Aaron Schumacher / Twitter: @a_schu95

Artwork & Video: Saurin Kantesaria

Music: Caligula - Windows96. Used with Artist Permission.

1:10 Your path to the intersection of Medicine and Machine Learning

4:45 What Electronic health records are used in the UK and how does the NHS operate?

12:40 Who uses the data you gather in the NHS?

12:40 Could you tell us about your new publication on the vertical translation of data in AI?

28:00 Can you speak to regulatory bodies and the implementation of AI into healthcare?

32:00 The global clinical AI dashboard

37:25 Any future projects in the pipeline?

39:00 What projects tend to have the most success at being integrated into healthcare?

41:08 How has mentorship shaped your path?

42:15 What do you think the future of AI in medicine will look like in 10 to 20 years?

46:50 What brings you joy and meaning?

48:00 Closing thoughts for the listeners

Ittai Dayan, MD is the co-founder and CEO of Rhino Health, a distributed computing platform leveraging privacy-preserving federated learning. The platform allows medical researchers and healthcare AI developers to seamlessly access diverse and disparate datasets and use them to create better AI algorithms.

contact@themamlpodcast.com

Host: David Wu / Twitter: @davidjhwu

Producer: Aaron Schumacher / Twitter: @a_schu95

Artwork & Video: Saurin Kantesaria

Music: Caligula - Windows96. Used with Artist Permission.

00:56 How did you come to the intersection of medicine and artificial intelligence?

06:15 What type of medicine did you start out studying?

11:35 Could you tell us the story behind Rhino Health?

14:30 What is federated learning?

21:00 Common use cases for Rhino Health?

26:45 Relationship between generalizability and accuracy when using federated learning?

28:15 What were your biggest challenges in creating Rhino Health?

32:40 An example of using Rhino Health?

37:40 How does Rhino Health integrate with EHR’s

38:15 What are your next steps for Rhino Health?

43:10 What do you think the future of AI in healthcare will look like?

48:08 What gives your life meaning and what are your greatest fears?

Beth Beadle, MD, PhD is the Director of Head & Neck Radiation Oncology at Stanford and co-creator of the Radiation Planning Assistant, a fully automated treatment planning assistant. 

00:56 How did you come to the intersection of medicine and AI?

03:20  What is radiation oncology and why does it fit well with AI?

05:54 How has radiation changed in your lifetime?

09:19 What is the Radiation Planning Assistant?

13:10 Describe radiation oncology workflow before the use of the radiation planning assistant

20:45  How does the model compare humans?

23:45 Where was the data source for the radiation Planning Assistant Model?

26:45 What safeguards exist for RPA?

28:00 What has been the response from other physicians, physicists, and patients to this model?

33:30 Timeline for implementation of the radiation planning assistant?

34:45 Background of the Radiation Planning Assistant

38:25 Future of Radiation Planning Assistant implementation

40:55 Adaptive planning in radiation oncology

43:15 Future of the Radiation Planning Assistant in the next 10 years

44:50 Are there any other projects being planned currently?

47:00 How has mentorship shaped your path?

50:25 What is the future of AI in medicine in 10-20 years

51:48 What advice would you tell yourself when you were graduating from medical school

53:20 What brings your life joy and meaning?

54:50 What are your greatest fears?

55:15 Favorite places to travel?

Dr. Tignanelli is the scientific director for the Program for Clinical Artificial Intelligence at the UMN Center for Learning Health Systems Science, the director of UMN Center for Quality Outcomes, and the chair of the Health Information Technology (HIT) Committee for the American College of Surgeons. Dr. Tignanelli's work serving COVID-19 patients during the pandemic and advancing AI research earned him the title of “Health Care Hero” by the Minneapolis/St. Paul Business Journal in 2021.

Follow us on Twitter @TheMaMLPodcast

Guest: Christopher Tignanelli, @cjtign

Host: Madeline Ahern, @maddie_ahern

Producer: Kirsi Oldenburg

Artwork: Saurin Kantesaria

Music: Caligula - Windows96: Used with artist permission

Notes:

01:00 tell us about yourself

04:00 critical care/acute care

06:30 COVID acute care

10:00 computer vision

14:00 rib fracture model

15:00 external vs internal validity

19:00 future of AI in medicine

Dr. Chenyang Xu is currently the President and Co-Chairman of PVmed Technologies, Co-Founding Partner of Silicon Valley Future Academy, Managing Partner of Brightway Future Capital, and an Advisory Board Member for the Johns Hopkins University BME department and formerly Advisory Board Member for the UC Berkeley EECS Department.

He was formerly the Chief Business Officer of RSP Systems and the GM and CTO of Siemens Technology to Business (TTB) at Berkeley where he led the Siemens’s North America’s technology startup partnership and early-stage investment practice out of the Silicon Valley. As former head of Siemens Interventional Imaging Program, he led an R&D team that developed over 10 new computer vision-based medical imaging products (e.g. CartoMerge) and has achieved billion dollar scale new revenue stream.

Follow us on Twitter! @TheMaMLPodcast

Guest: Chenyang Xu

Host: David Wu / Twitter: @davidjhwu

Producer: Aaron Schumacher / Twitter: @a_schu95

Artwork & Video: Saurin Kantesaria

Music: Caligula - Windows96. Used with Artist Permission.

01:00 - tell us about your path

11:00 - the internet + grad school in the 90s

22:00 - “career thinking” advice

30:30 - Siemens VC - looking at 10,000 startups

37:00 - PVMed - AI cancer treatment company in China

43:30 - AI startup ecosystem in China vs. US vs. Europe

56:30 - Potential downsides of implementing AI too quickly?

1:02:10 - Future of AI in medicine in 10-20 yrs?

1:13:00 - “Minority Report”-like AI to predict falls?

1:16:30 - Closing Questions

Steven Lin, M.D. is the service chief of family medicine for Stanford Health Care and the Founder and Executive director for the team.html">Stanford Healthcare AI Applied Research Team. 

Follow us on Twitter! @TheMaMLPodcast

Host: Madeline Ahern / Twitter: @maddie_ahern

Producer: Kirsi Oldenburg

Artwork & Video: Saurin Kantesaria

Music: Caligula - Windows96. Used with Artist Permission.