An innovative AI-based recognition model for detecting colorectal liver metastases during contrast-enhanced intraoperative ultrasonography was developed. By integrating the basic recognition model and a subtraction model, a combination model demonstrated superior accuracy, reaching 96.5%. Overall, the combination model achieved an exceptional area under the curve (AUC) of 0.99, significantly surpassing individual models, which achieved 89.4% and 86.6% accuracy. This advancement could streamline tumor detection, improving surgical outcomes.
Journal Article by Takayama M, Ito K (…) Hasegawa K et 7 al. in J Hepatobiliary Pancreat Sci
© 2024 The Author(s). Journal of Hepato‐Biliary‐Pancreatic Sciences published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Hepato‐Biliary‐Pancreatic Surgery.