This study investigates the impact of data volume on the generalization capability of AI in surgical applications. Using a large-scale cholecystectomy video dataset (1243 videos), the researchers developed a deep learning system for surgical phase recognition. The system demonstrated high accuracy and generalization to new settings and unseen medical centers, highlighting the importance of large, diverse datasets for robust AI in surgery.
Publisher
Scientific Reports
Published On
Dec 17, 2020
Authors
Omri Bar, Daniel Neimark, Maya Zohar, Gregory D. Hager, Ross Girshick, Gerald M. Fried, Tamir Wolf, Dotan Asselmann
Tags
AI
surgery
data volume
deep learning
cholecystectomy
generalization
video dataset
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