An AI-based system was developed to assess patient-submitted postoperative wound images, aiming to streamline the detection of surgical site infections (SSI). Among 6,060 patients studied, the model achieved an impressive incision detection accuracy of 94% and 73% accuracy for SSI detection. This technology demonstrated robust performance in image quality assessment and showed comparable efficacy across racial subgroups, offering a promising solution to alleviate the clinician workload associated with outpatient surgical care.
Journal Article by Muaddi H, Choudhary A (…) Thiels C et 7 al. in Ann Surg
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