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