Digital Surgery and Telemedicine · 28 June 2024

Deep Learning Model for Predicting Gastric Cancer Recurrence

Using CT imaging data, a deep learning model accurately predicts postoperative recurrence in gastric cancer patients. Developed and validated on 2,813 patients, the model showed excellent performance in identifying high-risk cases of recurrence. The deep learning fusion signature outperformed clinical models and baseline deep learning signatures, demonstrating its potential as a prognostic factor for patients undergoing radical surgery for gastric cancer.

Journal Article by Cao M, Hu C (…) Cheng X et 11 al. in Int J Surg

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