Current Status and Role of Artificial Intelligence in Anorectal Diseases and Pelvic Floor Disorders.

Autor:	Aleissa M; Fellow of Colorectal Surgery, Ascension Providence Hospital - Michigan State University, College of Human Medicine, Southfield, Michigan, USA.; College of Medicine, Princess Nourah Bint Abdulrahman University, Riyadh, Kingdom of Saudi Arabia., Osumah T; Fellow of Colorectal Surgery, Ascension Providence Hospital - Michigan State University, College of Human Medicine, Southfield, Michigan, USA., Drelichman E; Assistant Program Director of Colorectal Surgery Fellowship, Department of Surgery, College of Human Medicine, Ascension Providence Hospital-Michigan State University, Southfield, Michigan, USA., Mittal V; Associate DIO Medical Education, Past Program Director, General Surgery, Department of Surgery, College of Human Medicine, Ascension Providence Hospital-Michigan State University, Southfield, Michigan, USA., Bhullar J; Program Director of Colorectal Surgery Fellowship, Clinical Assistant Professor WSUCOM/MSUCHM, Department of Surgery, College of Human Medicine, Ascension Providence Hospital-Michigan State University, Southfield, Michigan, USA.
Jazyk:	angličtina
Zdroj:	JSLS : Journal of the Society of Laparoendoscopic Surgeons [JSLS] 2024 Apr-Jun; Vol. 28 (2).
DOI:	10.4293/JSLS.2024.00007
Abstrakt:	Background: Anorectal diseases and pelvic floor disorders are prevalent among the general population. Patients may present with overlapping symptoms, delaying diagnosis, and lowering quality of life. Treating physicians encounter numerous challenges attributed to the complex nature of pelvic anatomy, limitations of diagnostic techniques, and lack of available resources. This article is an overview of the current state of artificial intelligence (AI) in tackling the difficulties of managing benign anorectal disorders and pelvic floor disorders. Methods: A systematic literature review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched the PubMed database to identify all potentially relevant studies published from January 2000 to August 2023. Search queries were built using the following terms: AI, machine learning, deep learning, benign anorectal disease, pelvic floor disorder, fecal incontinence, obstructive defecation, anal fistula, rectal prolapse, and anorectal manometry. Malignant anorectal articles and abstracts were excluded. Data from selected articles were analyzed. Results: 139 articles were found, 15 of which met our inclusion and exclusion criteria. The most common AI module was convolutional neural network. researchers were able to develop AI modules to optimize imaging studies for pelvis, fistula, and abscess anatomy, facilitated anorectal manometry interpretation, and improved high-definition anoscope use. None of the modules were validated in an external cohort. Conclusion: There is potential for AI to enhance the management of pelvic floor and benign anorectal diseases. Ongoing research necessitates the use of multidisciplinary approaches and collaboration between physicians and AI programmers to tackle pressing challenges. (© 2024 by SLS, Society of Laparoscopic & Robotic Surgeons.)
Databáze:	MEDLINE
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