JPRN-UMIN000047939尚未招募未知
A Retrospective Study of AI to Predict Prognosis in Patients with Critical Limb Ischemia - A Retrospective Study of AI to Predict Prognosis in Patients with Critical Limb Ischemia
Osaka Red Cross Hospital0 个研究点目标入组 200 人开始时间: 2022年6月25日最近更新:
适应症
试验速览
- 阶段
- 未知
- 状态
- 尚未招募
- 发起方
- 入组人数
- 200
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
- ot applicable 至 ot applicable（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •Patients who cannot give consent for this study, patients with serious illnesses that are predicted to significantly affect their prognosis (e.g., malignancy requiring current treatment, severe infection, severe immunological or metabolic disease, etc.)
研究者
相似试验
招募中
不适用
Software to evaluate clinical, epidemiological data and chest computed tomography to predict which patients with COVID-19 will develop a severe form of the disease.RBR-7dsxsvDiagnósticos da América Sociedade Anônima (DASA)
已完成
不适用
Prediction of neurological prognosis by automated quantitative pupillometry in post resuscitation patientsPost Cardiac Arrest SyndromeJPRN-UMIN000015658Keio University School of Medicine50
尚未招募
Unknown
A study to use Artificial Intelligence to predict the outcomes of advanced stage Hodgkin LymphomaCTRI/2024/02/062294KOITA CENTRE FOR DIGITAL HEALTH(KCDH)
已完成
不适用
A retrospective observational study of prognostic factors for acute heart failurecongestive heart failureJPRN-UMIN000041519Kokura memorial hospital600
招募中
不适用
A retrospective observational study of prognostic factors and clinical outcomes in patients who underwent percutaneous coronary interventioIschemic heart diseaseJPRN-UMIN000042266Kokura memorial hospital4,800