NCT07098884招募中不适用
Artificial Intelligence for Pathology Diagnosis and Prognosis Prediction of Lung Nodule Using Smartphone Photos
Anhui Provincial Hospital3 个研究点 分布在 1 个国家目标入组 600 人开始时间: 2025年6月1日最近更新:
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 600
- 试验地点
- 3
- 主要终点
- Area under the receiver operating characteristic curve
研究概览
简要总结
The current study aims to develop and validate a deep learning signature for diagnosing pathology and predicting prognosis of lung nodule using smartphone photos of resected tumor specimens.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 20 Years 至 75 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •(1) Participants scheduled for surgery for radiological finding of pulmonary lesions from the preoperative thin-section CT scans; (2) Age ranging from 20-75 years.
排除标准
- •(1) Participants with incomplete clinical information; (2) Participants who have received anti-tumor therapy.
结局指标
主要结局
Area under the receiver operating characteristic curve
时间窗: From enrollment to the end of the study, assessed up to 6 months
次要结局
未报告次要终点
研究者
研究点 (3)
Loading locations...
相似试验
Unknown
不适用
Deep Learning Algorithm for the Diagnosis of Gastrointestinal DiseasesGastrointestinal DiseaseNCT04222439Shandong University100,000
招募中
不适用
MIDI (MR Imaging Abnormality Deep Learning Identification)Neurological DisorderNCT04368481King's College Hospital NHS Trust30,000
招募中
不适用
Development of a Deep Learning System for Identification of Neuro-Ophthalmological Conditions on Color Fundus Photographs in Emergency DepartmentEye DiseasesNCT06643338Fondation Ophtalmologique Adolphe de Rothschild1,000
已完成
不适用
Clinical Development of Deep Learning for the OtoSightOtitis Media AcuteNCT04722770PhotoniCare, Inc.188
招募中
不适用
Artificial Intelligence Based Melanoma Early Diagnosis and Risk Prediction in Children, Adolescents and Young AdultsMelanoma (Skin Cancer)Artificial Intelligence (AI)Pediatric CancerNCT06621810German Cancer Research Center3,000