Artificial intelligence in screening and diagnosis of surgical diseases: A narrative review.

Autor:	Palomba G; Department of Clinical Medicine and Surgery, University of Naples, 'Federico II', Sergio Pansini 5, 80131, Naples, Italy., Fernicola A; Department of Clinical Medicine and Surgery, University of Naples, 'Federico II', Sergio Pansini 5, 80131, Naples, Italy., Corte MD; Azienda Ospedaliera Universitaria San Giovanni di Dio e Ruggi d'Aragona - OO. RR. Scuola Medica Salernitana, Salerno, Italy., Capuano M; Department of Clinical Medicine and Surgery, University of Naples, 'Federico II', Sergio Pansini 5, 80131, Naples, Italy., De Palma GD; Department of Clinical Medicine and Surgery, University of Naples, 'Federico II', Sergio Pansini 5, 80131, Naples, Italy., Aprea G; Department of Clinical Medicine and Surgery, University of Naples, 'Federico II', Sergio Pansini 5, 80131, Naples, Italy.
Jazyk:	angličtina
Zdroj:	AIMS public health [AIMS Public Health] 2024 Apr 23; Vol. 11 (2), pp. 557-576. Date of Electronic Publication: 2024 Apr 23 (Print Publication: 2024).
DOI:	10.3934/publichealth.2024028
Abstrakt:	Artificial intelligence (AI) is playing an increasing role in several fields of medicine. It is also gaining popularity among surgeons as a valuable screening and diagnostic tool for many conditions such as benign and malignant colorectal, gastric, thyroid, parathyroid, and breast disorders. In the literature, there is no review that groups together the various application domains of AI when it comes to the screening and diagnosis of main surgical diseases. The aim of this review is to describe the use of AI in these settings. We performed a literature review by searching PubMed, Web of Science, Scopus, and Embase for all studies investigating the role of AI in the surgical setting, published between January 01, 2000, and June 30, 2023. Our focus was on randomized controlled trials (RCTs), meta-analysis, systematic reviews, and observational studies, dealing with large cohorts of patients. We then gathered further relevant studies from the reference list of the selected publications. Based on the studies reviewed, it emerges that AI could strongly enhance the screening efficiency, clinical ability, and diagnostic accuracy for several surgical conditions. Some of the future advantages of this technology include implementing, speeding up, and improving the automaticity with which AI recognizes, differentiates, and classifies the various conditions. Competing Interests: Conflicts of Interest: No conflict of interest has been declared by the authors. (© 2024 the Author(s), licensee AIMS Press.)
Databáze:	MEDLINE
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