1.
NPJ Digit Med
; 7(1): 99, 2024 Apr 22.
Artículo
en Inglés
| MEDLINE
| ID: mdl-38649447
RESUMEN
Surgical artificial intelligence (AI) has the potential to improve patient safety and clinical outcomes. To date, training such AI models to identify tissue anatomy requires annotations by expensive and rate-limiting surgical domain experts. Herein, we demonstrate and validate a methodology to obtain high quality surgical tissue annotations through crowdsourcing of non-experts, and real-time deployment of multimodal surgical anatomy AI model in colorectal surgery.