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Artificial Intelligence in Surgery: Learning and Applications

Umair Tahir,Iqra Sadaf,2 Authors,Iqra Tanzeel

2025 · DOI: 10.51985/jbumdc2025592
0 Citations

TLDR

A quick review of AI-assisted surgical learning and applications in various surgery sectors focused on implementing AI in several aspects of patient care, including early screening, intra-operation robotics, post-operation monitoring, and follow-up.

Abstract

Artificial intelligence (AI) has transformed the field of surgery; using machine learning algorithms in domains like computer

vision and operative robotics can fundamentally alter patient screening, diagnosis, risk assessment, treatment, and followup procedures in operating rooms and both before and after surgery. This quick review summarized AI-assisted surgical

learning and applications in various surgery sectors. We explained the usefulness of AI in all aspects of surgery learning

and competency. Our review focused on implementing AI in several aspects of patient care, including early screening,

intra-operation robotics, post-operation monitoring, and follow-up. Horizon scanning of AI technologies in surgery identifies

developments that can improve medical procedures and transform future norms. Thus, over the next ten years, experimental

progress will quickly translate into practical applications. In comparison, AI may necessitate a change in work procedures.

It will also improve surgical safety, learning, and surgical quality for patients while offering surgeons and health systems

substantial benefits