AI model predicts patient outcomes from surgical gestures and provides insights into explainability
John R. Heard, Atharva Deo, Umar Ghaffar, Runzhuo Ma, Cherine Yang, Ujjwal Pasupulety, Jasmine Lin, Carter M. Prentice, Hyung L. Kim, Melissa Assel, Christian Wagner, Geoffrey A. Sonn, Alvin C. Goh, Andrew Vickers, Jim C. Hu, Andrew J. Hung · 2026
Read AI model predicts patient outcomes from surgical gestures and provides insights into explainability by John R. Heard, Atharva Deo, Umar Ghaffar, Runzhuo Ma, Cherine Yang, Ujjwal Pasupulety, Jasmine Lin, Carter M. Prentice, Hyung L. Kim, Melissa Assel, Christian Wagner, Geoffrey A. Sonn, Alvin C. Goh, Andrew Vickers, Jim C. Hu, Andrew J. Hung (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13174042.txt.
Description
A large surgical team taught an AI model to predict patient outcomes from the surgeon's hand movements, in a 2026 paper. Surgical trainees need fast feedback, yet some results of surgery take a year to show. The team studied video of robot-assisted prostate removal, focusing on the nerve-sparing step.
They analyzed operations on 147 patients at five centers. Earlier work used gesture sequences alone to forecast erectile function a year later. Adding anatomical and functional labels to each gesture raised prediction accuracy clearly. Attention analysis in the model flagged which gesture, anatomy, and function mixes mattered most. Some of those mixes were new to the field. The authors say spotting the moves that drive outcomes is a first step toward data-based surgical coaching. Trainees could then practice the moments that count.
Catalog record
| CREATOR | John R. Heard, Atharva Deo, Umar Ghaffar, Runzhuo Ma, Cherine Yang, Ujjwal Pasupulety, Jasmine Lin, Carter M. Prentice, Hyung L. Kim, Melissa Assel, Christian Wagner, Geoffrey A. Sonn, Alvin C. Goh, Andrew Vickers, Jim C. Hu, Andrew J. Hung |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 25 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |