人工智能增强了细胞癌诊断挑战的进展
Mladen Doykov1, Stanislav Valkanov1, Usman Khalid2
1Department of Urology and General Medicine, Medical Faculty, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Journal of clinical medicine
|April 12, 2025
概括
人工智能 (AI) 通过改进分类和亚型来增强细胞癌 (RCC) 诊断. 这导致了个性化的治疗计划和更好的患者结果,尽管数据和验证存在挑战.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 细胞癌 (RCC) 的诊断往往是偶然的,由于缺乏特定的亚型表征,导致过度治疗.
- 人工智能 (AI) 提供了在RCC中改进分类和个性化患者管理的潜力.
- 人工智能正在探索各种诊断方法,包括组织病理学,多组学,成像学和外科诊断.
研究的目的:
- 审查人工智能驱动的细胞癌 (RCC) 诊断方面的进展.
- 评估AI在RCC分类和亚型化中的结果,有效性和准确性.
- 确定AI在RCC诊断中的挑战和未来方向.
主要方法:
- 进行了非系统的文献综述.
- 在PubMed和谷歌学者数据库中搜索了有关AI在RCC诊断中的相关研究.
- 关于人工智能应用及其影响的关键发现被提取并合成.
主要成果:
- 人工智能可以将RCC与其他脏病变区分开来,并监测瘤生长.
- 将放射性特征与临床数据相结合,可以提高诊断准确度,并实现个性化治疗.
- 术后诊断中的人工智能增强了决策,患者安全和康复.
结论:
- 人工智能辅助的RCC诊断有望改善患者的治疗结果和个性化癌症管理.
- 人工智能有可能为RCC患者建立新的护理标准.
- 解决选择偏见,数据多样性和验证等挑战对于广泛采用人工智能至关重要.
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