Episode Summary

Anthony DiGiorgio and Anish Koka sit down with Dr. Dan Donoho, an NIH-funded neurosurgeon-scientist at Children's National Hospital and George Washington University, and founder of the Surgical Data Science Collective and the Foundation for Digital Neurosurgery, for a wide-ranging conversation on AI in medicine. Donoho explains why surgeons get almost no structured feedback after a case, walks through a randomized controlled trial showing AI-coached medical students outperformed those coached by humans on simulated tumor resections, and argues that most regulatory "barriers" to deploying AI in healthcare are cultural rather than statutory. The conversation moves through the limits of tactile sensation in surgical AI, why he expects innovation to come from small agile practices rather than large insurance-pay hospitals, his family's data science lineage, humanoid robots performing laparoscopic surgery, the anti-data-center backlash, and ongoing surgical AI trials in Ethiopia and Tanzania.

Chapter Markers

00:16 Introduction and guest background

01:16 The Surgical Data Science Collective and the problem of lost surgical knowledge

03:26 How AI could replace the mentor's voice in a surgeon's head

06:50 Tactile feedback and the limits of video-based AI in surgery

08:47 The RCT: AI coaching vs. human coaching in medical students

11:48 What's the gold standard for grading surgical performance

14:42 Who validates the AI — the EKG problem and patient outcomes as the real judge

17:19 Humanoid robots, self-driving cars, and low-hanging AI fruit in clinics

20:27 Regulatory barriers to AI in EHRs — culture vs. statute

22:09 Doctronic, AI prescribing, and licensure

25:12 Where Dan's interest in data science started

26:39 His father, statistician David Donoho, and the rise of empiricism

28:09 The "don't go into medicine" narrative and why it's wrong

30:26 COVID as a case study in bureaucratic drag on technology adoption

33:27 Should the FDA regulate surgical AI products

35:50 Andromeda Surgical, humanoid robots in the OR, and the cost gap

38:27 The anti-data-center movement and the history of sabotage

39:54 Global AI competition and China's Kimi K3 model

42:41 How to measure whether an AI model is actually better

44:34 Model size vs. training — why prompting changes performance

45:46 What the surgical community currently measures, and why it's the wrong thing

47:23 The Tanzania surgical AI trial and other real-world deployments

49:03 What actually scares Dan about AI

51:21 Will AI democratize power or concentrate it

52:15 Closing questions — what's next, including the Ethiopia partnership

Co-Host Handle

@anish_koka and @drdigiorgio

Show Handle

@drsloungepod

Subscribe Links

Spotify: https://open.spotify.com/show/44vw8eirsKKnjgNIrdDvrR

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-doctors-lounge/id1832097658

YouTube: https://www.youtube.com/@TheDoctorsLoungePod

Dr. Daniel Donoho Website & X

Website: https://www.surgicalvideo.io/

X: https://x.com/ddonoho