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尿瘤学中的人工智能:我们有什么和我们期待什么
Anita Froń1, Alina Semianiuk1, Uladzimir Lazuk1
1Department of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.
Cancers
|September 9, 2023
概括
人工智能 (AI) 在诊断,计划治疗和监测泌尿癌方面显示出巨大潜力. 在泌尿瘤学应用中,人工智能技术往往与人类医生一样准确,或者比人类医生更好.
科学领域:
- 尿瘤学 尿瘤学
- 医疗人工智能 医疗人工智能
背景情况:
- 人工智能 (AI) 正通过创新和自动化彻底改变医疗保健.
- 人工智能应用正在扩展到各种医疗领域,包括泌尿病学.
研究的目的:
- 评估人工智能技术在泌尿癌的诊断,治疗规划和监测中的实用性.
- 评估人工智能在促进泌尿瘤学护理方面的作用.
主要方法:
- 在PUBMED/Scopus数据库中进行了全面的文献搜索,直到2022年5月31日.
- 关键词包括与人工智能和泌尿瘤学相关的术语.
- 文章的选择是基于作者共识.
主要成果:
- 常见的AI类型包括机器学习 (ML),深度学习 (DL),神经网络 (NN),自然语言处理 (NLP) 和计算机视觉.
- 人工智能增强了成像,分级和节点分期的泌尿癌管理.
- 人工智能在各种泌尿瘤学任务中表现出与医疗专业人员相似或更高的准确性.
结论:
- 人工智能在泌尿癌的诊断,治疗和监测方面具有变革性的潜力.
- 预计未来人工智能在泌尿瘤学中的更多使用将改善患者的治疗结果.
- 人工智能整合有望改善尿道瘤的整体管理.
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