دورية أكاديمية
Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse Than Humans?
| العنوان: | Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse Than Humans? |
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| المؤلفون: | Cetera GE; Gynecology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy.; Academic Center for Research on Adenomyosis and Endometriosis, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy., Tozzi AE; Predictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy., Chiappa V; Gynaecologic Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy., Castiglioni I; Department of Physics, Università Milano Bicocca, 20126 Milan, Italy., Merli CEM; Gynecology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy., Vercellini P; Gynecology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy.; Academic Center for Research on Adenomyosis and Endometriosis, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy. |
| المصدر: | Journal of clinical medicine [J Clin Med] 2024 May 16; Vol. 13 (10). Date of Electronic Publication: 2024 May 16. |
| نوع المنشور: | Journal Article; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101606588 Publication Model: Electronic Cited Medium: Print ISSN: 2077-0383 (Print) Linking ISSN: 20770383 NLM ISO Abbreviation: J Clin Med Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Basel, Switzerland : MDPI AG, [2012]- |
| مستخلص: | 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. |
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| فهرسة مساهمة: | Keywords: adenomyosis; artificial intelligence; endometriosis |
| تواريخ الأحداث: | Date Created: 20240525 Latest Revision: 20240527 |
| رمز التحديث: | 20240527 |
| مُعرف محوري في PubMed: | PMC11121846 |
| DOI: | 10.3390/jcm13102950 |
| PMID: | 38792490 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2077-0383 |
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| DOI: | 10.3390/jcm13102950 |