Clinical Validation of Computer-Aided Diagnosis Software for Preventing Retained Surgical Sponges.

Background: We previously reported the successful development of a computer-aided diagnosis (CAD) system for preventing retained surgical sponges with deep learning using training data, including composite and simulated radiographs. In this study, we evaluated the efficacy of the CAD system in a clinical setting.

Study Design: A total of 1,053 postoperative radiographs obtained from patients 20 years of age or older who underwent surgery were evaluated.