JPRN-UMIN000043855已完成未知
Accuracy of diagnostic-support artificial intelligence interpretation to detect interstitial pneumonia in the medical examination - Accuracy of diagnostic-support artificial intelligence interpretation to detect interstitial pneumonia in the medical examination
适应症
试验速览
- 阶段
- 未知
- 状态
- 已完成
- 入组人数
- 3,770
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
- 50years-old 至 100years-old(—)
- 性别
- All
入选标准
- 未提供
排除标准
- •Subjects who refuse written consent and do not undergo chest X-ray and/or blood examination. To maintain anonymization, elderly subjects aged >100 years, and those with very rares disease (i.e., <= 10 subjects in the database) will also be excluded.
研究者
相似试验
招募中
Unknown
Evaluation of precision diagnosis using artificial intelligence (AI) diagnostic software for chest X-ray: For practical use in medical and health care for lung cancer treatmentRespiratory diseaseJPRN-UMIN000049204lpixel inc.31,000
招募中
不适用
computer based software to detect occult scaphoid (a bone in wrist)fractures and microstructural analysis of scaphoid (a bone in wrist)CTRI/2019/12/022292Kasturba Medical College Manipal
已完成
Unknown
Accuracy validation of AI-assisted diagnosis for influenza during the novel coronavirus disease (COVID-19) pandemic.COVID-19, InfluenzaJPRN-UMIN000049694Yamanashi Prefectural Central Hospital300
进行中(未招募)
不适用
Assessment of Diagnostic Adequacy of AI-assisted Point-of-Care Echocardiography Among Anesthesiology TraineesAnesthesiaNCT06548373Loma Linda University16
招募中
不适用
Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric LesionPremalignant LesionHelicobacter Pylori InfectionNCT05762991National Taiwan University Hospital6,000
