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|CURRENT APPLICATION OF ARTIFICIAL INTELLIGENCE FOR INTRAOPERATIVE DECISION SUPPORT IN SURGERY|
Mamtha M Manikandan S Maria Joseline M Monisha R S and Nagulan T
In recent years, surgical uses of artificial intelligence (AI) in medicine have advanced significantly. In this scoping review, artificial intelligence-based decision support systems for intraoperative surgery were investigated. A wide range of technological solutions were found to be used across various surgical specialties. Three major types of motivations for developing such technologies were found in the twenty-one (n = 21) publications that were included: (1) enhancing the information available to surgeons, (2) speeding intraoperative pathology, and (3) advising surgical actions. The majority of the examined studies contained significant methodological flaws that made it challenging to evaluate the clinical significance of the provided performance statistics, even though many of the recommendations showed promise for improving patient outcomes. Despite restrictions, the state of this field at the moment indicates that a number of opportunities exist for future researchers and clinicians to work on AI for surgical decision support with exciting implications for improving surgical care.
Keywords: artificial intelligence; clinical decision support systems; computer vision; decision support; deep learning; intraoperative; machine learning; surgery.
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