JPRN-UMIN000051237已完成Unknown
Comparison of the ability of Artifical intelligence-based computer-aided detection (CAD) systems and endoscopists to detect colorectal neoplastic lesions. - Comparison of the ability of CAD systems and endoscopists to detect colorectal neoplastic lesions.
Tokyo Women's Medical University Hospital0 个研究点目标入组 47 人开始时间: 2023年6月2日最近更新:
试验速览
- 阶段
- Unknown
- 状态
- 已完成
- 发起方
- 入组人数
- 47
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18years-old 至 90years-old（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •Cases with poor preparation Cases in which CAD indicated more than 5 colorectal polyps of 10 mm or less Cases in which endoscopic procedures were performed including biopsy Cases in which no neoplastic lesions were detected Inflammatory bowel disease and polyposis Cases with an examination time of 20 minutes or longer
研究者
相似试验
招募中
Unknown
Comparison of artificial intelligence automated quantification and human visual assessment of calcification and vessel sizing in in-vivo optical coherence tomography imagesCoronary artery diseaseJPRN-UMIN000053600Osaka Rosai Hospital30
尚未招募
不适用
Comparative performance evaluation of Artificial Intelligence (AI) based visualinspection test (AI_VIA) with Primary Health Worker administered VIA (PHW_VIA), HPVDNA test and cervical cytology to detect cervical pre-cancer lesions.CTRI/2019/12/022368Periwinkle Technologies Pvt Ltd
尚未招募
Unknown
Evaluation of the potential of artificial intelligence (AI) for the detection of incipient lung tissue damage using electrical impedance tomography (EIT) through long-term monitoringincipient, potentially pathological changes of the lungsDRKS00033243niversitätsmedizin Göttingen20
尚未招募
不适用
Evaluation of Artificial Intelligence based software for radiotherapy planningCTRI/2019/09/021316Kasturba Medical College Manipal
已完成
不适用
The assessment of experimental artificial intelligence (AI) algorithms for the diagnosis of skin tumours against human performanceskin cancermelanomaACTRN12620000695909MetaOptima Technology Inc190