ChiCTR2500105530Not yet recruitingNot Applicable
一项评估人工智能算法在泌尿系肿瘤管理及早期诊断中应用的观察性研究
自选课题(自筹)1 site in 1 countryStarted: March 15, 2025Last updated:
Trial Snapshot
- Phase
- Not Applicable
- Status
- Not yet recruiting
- Sponsor
- Locations
- 1
- Primary Endpoint
- 临床决策一致性
Study Overview
Brief Summary
比较大型语言模型在提供诊疗建议时与人类专家的一致性与效率;构建并验证整合临床、影像和基因组信息的 AI 模型,用于提升早期癌症诊断与风险分层的精准度。
Study Design
- Study Type
- 观察性研究
- Primary Purpose
- 连续入组
- Masking
- 无
Eligibility Criteria
- Ages
- 18 to — (—)
- Sex
- All
Inclusion Criteria
- •1.成人(≥18 岁),疑似或新确诊或曾接受过治疗的泌尿系统癌症(前列腺癌、肾癌、肾上腺癌、上皮癌)患者。
- •2.愿意并能够为前瞻性数据收集提供知情同意书;
Exclusion Criteria
- •1.无法或不愿提供影像学资料或相关临床记录;
- •2.同时参与另一项不允许共享数据的研究试验;
- •3.已知的严重并发症导致无法进行标准的肿瘤治疗;
Arms & Interventions
观察组
Outcomes
Primary Outcomes
临床决策一致性
Time Frame: 患者治疗方案确定并开始实施后
Secondary Outcomes
No secondary outcomes reported
Investigators
Study Sites (1)
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