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

CAD systems CNN diagnosis artificial intelligence artificial intelligence diagnosis artificial intelligence screening general surgery AI diagnosis

Journal

AIMS public health
ISSN: 2327-8994
Titre abrégé: AIMS Public Health
Pays: United States
ID NLM: 101635098

Informations de publication

Date de publication:
2024
Historique:
received: 31 01 2024
revised: 29 03 2024
accepted: 02 04 2024
medline: 19 7 2024
pubmed: 19 7 2024
entrez: 19 7 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 39027395
doi: 10.3934/publichealth.2024028
pii: publichealth-11-02-028
pmc: PMC11252578
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

557-576

Informations de copyright

© 2024 the Author(s), licensee AIMS Press.

Déclaration de conflit d'intérêts

Conflicts of Interest: No conflict of interest has been declared by the authors.

Auteurs

Giuseppe Palomba (G)

Department of Clinical Medicine and Surgery, University of Naples, "Federico II", Sergio Pansini 5, 80131, Naples, Italy.

Agostino Fernicola (A)

Department of Clinical Medicine and Surgery, University of Naples, "Federico II", Sergio Pansini 5, 80131, Naples, Italy.

Marcello Della Corte (MD)

Azienda Ospedaliera Universitaria San Giovanni di Dio e Ruggi d'Aragona - OO. RR. Scuola Medica Salernitana, Salerno, Italy.

Marianna Capuano (M)

Department of Clinical Medicine and Surgery, University of Naples, "Federico II", Sergio Pansini 5, 80131, Naples, Italy.

Giovanni Domenico De Palma (GD)

Department of Clinical Medicine and Surgery, University of Naples, "Federico II", Sergio Pansini 5, 80131, Naples, Italy.

Giovanni Aprea (G)

Department of Clinical Medicine and Surgery, University of Naples, "Federico II", Sergio Pansini 5, 80131, Naples, Italy.

Classifications MeSH