ISRCTN51927471已完成未知
External validation of the deep learning models Ovry-Dx1 and Ovry-Dx2, applied on ultrasound images, to discriminate benign and malignant ovarian tumours. An external international multicentre validation study by the Ovarian Tumour Machine Learning Collaboration (OMLC)
Stockholm County Council0 个研究点目标入组 3,657 人开始时间: 2020年7月24日最近更新:
适应症
试验速览
- 阶段
- 未知
- 状态
- 已完成
- 发起方
- 入组人数
- 3,657
研究概览
简要总结
2020 Other publications in https://pubmed.ncbi.nlm.nih.gov/33142359/ development and testing ultrasound image analysis using deep neural networks (added 02/09/2024)
研究设计
- 研究类型
- Observational
入排标准
- 性别
- Female
入选标准
- •1. Women with adnexal lesions undergoing structured ultrasound examination prior to surgery
- •2. At least 3 good quality, representative ultrasound images per case
- •3. Histological outcome form surgery available
排除标准
- •Does not meet inclusion criteria
研究者
相似试验
已完成
不适用
External Validation of a Deep Learning Based Model for Pulmonary Embolism Detection on Chest CT ScansPulmonary EmbolismNCT05333042OncoRadiomics5,000
招募中
Unknown
A study to check the accuracy of a machine learning derived model that predicts the risk of a patient developing pulmonary complications ( lung ) after a surgery (Post Operative ) based on the certain characteristics of the patient.CTRI/2024/07/070709Dr. Aumkar Kishore Shah
已完成
不适用
Predicting Outcomes After Lumbar Fusion for Degenerative DiseaseSpinal Stenosis LumbarDisk Herniated LumbarLow Back PainNCT05161130Bergman Clinics1,115
尚未招募
Unknown
External validation of the clinical prediction model for gait function after strokeStrokeJPRN-UMIN000050588umata Neurosurgery & Heart Disease Hospital500
尚未招募
不适用
To Study how accurately of Predible Lung detects Lung NodulesCTRI/2019/07/020120Predible Health P Ltd