Background: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.Methods: Both diagnostic and surgical work in the field of gynecological oncology was conducted, selecting the most interesting articles on the subject.Results: 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.Conclusions: 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.
背景：近年来，人工智能技术席卷临床医学与外科领域，展现出广阔的应用前景，尤其在临床实践与科研中的落地潜力备受瞩目。创新浪潮奔涌向前，但当前发展态势究竟如何？本研究聚焦妇科肿瘤学领域，对前沿挑战、现有证据及未来可能的发展路径进行了系统性梳理。 方法：通过筛选妇科肿瘤学诊断与手术治疗领域最具学术价值的文献展开研究。 结果：文献综述显示，当前诊断领域的人工智能应用进展显著领先于外科领域，后者目前主要局限于卵巢手术范畴。现有证据多集中于探讨不同生物标志物在预测诊断模式、预后评估及整合治疗方案中的作用。 结论：当前认知呈现动态演进特征，随着人工智能与医学领域的深度融合，相关研究格局正以前所未有的速度持续更新迭代。
Artificial Intelligence in Gynecological Oncology from Diagnosis to Surgery
肿瘤(癌症)患者之家