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从诊断到手术的妇科肿瘤学中的人工智能

Artificial Intelligence in Gynecological Oncology from Diagnosis to Surgery.

作者信息

Restaino Stefano, De Giorgio Maria Rita, Pellecchia Giulia, Arcieri Martina, Vasta Francesca Maria, Fedele Camilla, Bonome Paolo, Vizzielli Giuseppe, Pignata Sandro, Giannone Gaia

机构信息

Clinic of Obstetrics and Gynecology, "Santa Maria della Misericordia" University Hospital, Azienda Sanitaria Universitaria Friuli Centrale, 33100 Udine, Italy.

PhD School in Biomedical Sciences, Gender Medicine, Child and Women Health, University of Sassari, 07100 Sassari, Italy.

出版信息

Cancers (Basel). 2025 Mar 21;17(7):1060. doi: 10.3390/cancers17071060.

DOI:10.3390/cancers17071060
PMID:40227612
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11987942/
Abstract

The field of medicine, both clinical and surgical, has recently been overwhelmed by artificial intelligence technology, which promises countless application scenarios and, above all, implementation in clinical practice and research. Novelties are riding the wave fast, but where do we stand? A small overview in gynecological oncology of future challenges, evidence already investigated, and possible scenarios to be derived was conducted. : Both diagnostic and surgical work in the field of gynecological oncology was conducted, selecting the most interesting articles on the subject. : From the narrative review of the literature, it emerged how much further ahead the diagnostic field is at present compared to the surgical one, which appeared to be more limited to ovarian surgery. Most current evidence focuses on the role of different biomarkers in predicting diagnostic, prognostic, and treatment-integrated patterns. : Everything we know to date is related to a dynamic photograph that is constantly and rapidly changing as much as AI is becoming inextricably linked to our medical field.

摘要

医学领域,包括临床和外科,最近被人工智能技术所淹没,该技术预示着无数的应用场景,最重要的是在临床实践和研究中的应用。新事物如浪潮般迅速涌现,但我们目前处于什么位置呢?本文对妇科肿瘤学未来的挑战、已研究的证据以及可能出现的情况进行了简要概述。:开展了妇科肿瘤学领域的诊断和外科工作,挑选了关于该主题最有趣的文章。:从文献的叙述性综述中可以看出,目前诊断领域比外科领域领先得多,而外科领域似乎更多地局限于卵巢手术。当前的大多数证据都集中在不同生物标志物在预测诊断、预后和综合治疗模式方面的作用。:我们目前所知道的一切都与一张动态照片有关,这张照片如同人工智能与我们的医学领域紧密相连一样,在不断快速地变化。

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