Version 1
: Received: 15 March 2024 / Approved: 15 March 2024 / Online: 18 March 2024 (09:25:36 CET)
How to cite:
Cetera, G.E.; Tozzi, A.E.; Chiappa, V.; Castiglioni, I.; Merli, C.E.M.; Vercellini, P. Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse than Humans?. Preprints2024, 2024030956. https://doi.org/10.20944/preprints202403.0956.v1
Cetera, G.E.; Tozzi, A.E.; Chiappa, V.; Castiglioni, I.; Merli, C.E.M.; Vercellini, P. Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse than Humans?. Preprints 2024, 2024030956. https://doi.org/10.20944/preprints202403.0956.v1
Cetera, G.E.; Tozzi, A.E.; Chiappa, V.; Castiglioni, I.; Merli, C.E.M.; Vercellini, P. Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse than Humans?. Preprints2024, 2024030956. https://doi.org/10.20944/preprints202403.0956.v1
APA Style
Cetera, G.E., Tozzi, A.E., Chiappa, V., Castiglioni, I., Merli, C.E.M., & Vercellini, P. (2024). Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse than Humans?. Preprints. https://doi.org/10.20944/preprints202403.0956.v1
Chicago/Turabian Style
Cetera, G.E., Camilla Erminia Maria Merli and Paolo Vercellini. 2024 "Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse than Humans?" Preprints. https://doi.org/10.20944/preprints202403.0956.v1
Abstract
Artificial intelligence (AI) is experiencing advances and integration in all medical specializations, and this creates excitement but also concerns. This narrative review aims at a critical assessment of 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, AI promises to improve the quality of care by facilitating clinical research and through the introduction of decision support tools that can enhance diagnostic assessment and 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.
Medicine and Pharmacology, Obstetrics and Gynaecology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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