AI algorithm developed at Carolinas Medical Center accurately predicts complex hernia cases based on preoperative CT images. Algorithm determines need for component separation, ICU transfer, and risk of surgical site infection with 64%-83% accuracy. Study presented at Americas Hernia Society meeting and received Best Paper Award. AI shows promise in aiding surgeons in identifying complications. Program trained on 233 patients and achieved 100% accuracy in predicting component separation in training set. Program accurately predicted pulmonary failure and surgical site infection. Results suggest AI can improve patient care by providing objective analysis and risk stratification preoperatively. Further research planned to optimize algorithms for multicenter trials.
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AI Tool Can Predict Post-op Hernia Complications
