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Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse Than Humans?

Title: Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse Than Humans?
Authors: Cetera, Giulia Emily; Tozzi, Alberto Eugenio; Chiappa, Valentina; Castiglioni, Isabella; Merli, Camilla Erminia Maria; Vercellini, Paolo
Contributors: G.E. Cetera; A.E. Tozzi; V. Chiappa; I. Castiglioni; C.E.M. Merli; P. Vercellini
Publisher Information: MDPI
Publication Year: 2024
Collection: The University of Milan: Archivio Istituzionale della Ricerca (AIR)
Subject Terms: adenomyosi; artificial intelligence; endometriosis; Settore MED/40 - Ginecologia e Ostetricia
Description: Artificial intelligence (AI) is experiencing advances and integration in all medical specializations, and this creates excitement but also concerns. This narrative review aims to critically assess the state of the art of AI in the field of endometriosis and adenomyosis. By enabling automation, AI may speed up some routine tasks, decreasing gynecologists' risk of burnout, as well as enabling them to spend more time interacting with their patients, increasing their efficiency and patients' perception of being taken care of. Surgery may also benefit from AI, especially through its integration with robotic surgery systems. This may improve the detection of anatomical structures and enhance surgical outcomes by combining intra-operative findings with pre-operative imaging. Not only that, but AI promises to improve the quality of care by facilitating clinical research. Through the introduction of decision-support tools, it can enhance diagnostic assessment; it can also predict treatment effectiveness and side effects, as well as reproductive prognosis and cancer risk. However, concerns exist regarding the fact that good quality data used in tool development and compliance with data sharing guidelines are crucial. Also, professionals are worried AI may render certain specialists obsolete. This said, AI is more likely to become a well-liked team member rather than a usurper.
Document Type: article in journal/newspaper
Language: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/38792490; info:eu-repo/semantics/altIdentifier/wos/WOS:001232822500001; volume:13; issue:10; firstpage:1; lastpage:15; numberofpages:15; journal:JOURNAL OF CLINICAL MEDICINE; https://hdl.handle.net/2434/1053948
DOI: 10.3390/jcm13102950
Availability: https://hdl.handle.net/2434/1053948; https://doi.org/10.3390/jcm13102950
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.B4390D00
Database: BASE