Jasper Laca

University of Southern California

Papers

6

Total Citations

154

H-Index

5

About

Jasper Laca is a pioneering researcher at the intersection of artificial intelligence and surgical performance, with a focus on robotic surgery. His work centers on developing objective, AI-driven methods to quantify surgical skill, moving beyond subjective human assessment to improve patient outcomes. Laca’s major contributions include establishing the use of discrete “surgical gestures”—deconstructing procedures into instrument-tissue interactions—as a reliable metric for performance and outcome prediction, a paradigm shift detailed in his highly cited 2022 paper (54 citations). He has also been instrumental in creating AI-based video feedback systems that provide real-time, personalized guidance to novice surgeons, as demonstrated in his pilot study (27 citations) and related work. Notably, Laca addresses critical ethical dimensions of AI in medicine; his 2023 paper (46 citations) shows how human visual explanations can mitigate algorithmic bias in skill assessment, ensuring fairness in high-stakes decisions like surgeon credentialing. With over 150 total citations, Laca’s research is shaping the future of surgical training and assessment, making him a key figure in the drive toward safer, more equitable, and data-driven surgical care.

Research Focus

Key Achievements

5
H-Index
6
Papers
154
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Surgical gestures as a method to quantify surgical performance and predict patient outcomes
54 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: University of Southern California

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago