Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery.
Journal
NPJ digital medicine
ISSN: 2398-6352
Titre abrégé: NPJ Digit Med
Pays: England
ID NLM: 101731738
Informations de publication
Date de publication:
22 Apr 2024
22 Apr 2024
Historique:
received:
31
08
2023
accepted:
29
03
2024
medline:
23
4
2024
pubmed:
23
4
2024
entrez:
22
4
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 38649447
doi: 10.1038/s41746-024-01095-8
pii: 10.1038/s41746-024-01095-8
doi:
Types de publication
Journal Article
Langues
eng
Pagination
99Informations de copyright
© 2024. The Author(s).
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