Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery.
NPJ Digit Med
; 7(1): 99, 2024 Apr 22.
Article
em En
| MEDLINE
| ID: mdl-38649447
ABSTRACT
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.
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MEDLINE
Idioma:
En
Ano de publicação:
2024
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Article