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Review

Remote Monitoring and Complication Detection: Artificial Intelligence for Postoperative Care

Subhas Gupta, MD, CM, PhD, FRCSC, FACS

Department of Plastic Surgery, Loma Linda University; The Plastic Surgery AI Group

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Abstract

Postoperative care is one of the highest-risk, highest-cost phases of the surgical journey, and complications often develop between scheduled visits. AI-enabled remote monitoring, using smartphone images, structured symptom inputs, wearable sensors, and predictive models, can detect problems earlier, reduce unnecessary visits, and improve outcomes. This article surveys the landscape of AI-powered postoperative monitoring across surgical specialties.

Keywords

remote monitoring, postoperative care, complication detection, wearables, computer vision

How to cite: Subhas Gupta, MD, CM, PhD, FRCSC, FACS. Remote Monitoring and Complication Detection: Artificial Intelligence for Postoperative Care. Journal of Surgical Intelligence, Volume 1, Issue 1, March 2026. https://doi.org/10.67748/SINT2880