DRKS00031150招募中Unknown
Development of smart emergency care algorithms by explainable AI - ENSURE
niversitätsmedizin Göttingen0 个研究点目标入组 2,000 人开始时间: 2023年2月1日最近更新:
适应症
试验速览
- 阶段
- Unknown
- 状态
- 招募中
- 发起方
- 入组人数
- 2,000
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Interventional
- 分配方式
- N/a: Single Arm Study
- 盲法
- Open (masking not used)
入排标准
- 年龄范围
- 18 Years 至 one(—)
- 性别
- All
入选标准
- •Emergency Case (one of the 20 most frequent emergency diagnoses)
- •- capable of informed consent
排除标准
- •- Age < 18 LJ
- •- incapable of informed consent
- •- vulnerable risk groups (e.g. pregnancy, psychiatric diseases, dementia)
研究者
相似试验
招募中
Unknown
Smart Emergency - Rescue services networked in a new way! 5G telemedicine networkingnon-urgent emergeciesT83.0Z99.1R53Mechanical complication of urinary (indwelling) catheterDependence on respiratorMalaise and fatigueDRKS00030598Carl von Ossietzky Universität Oldenburg150
招募中
不适用
Syncope algorithms in the emergency department with structured follow-up. How effective is a standardised approach at improving diagnostic yield, quality of life and decreasing health care costs? The SYNERGY studyfaintingsyncopeNL-OMON45663eids Universitair Medisch Centrum550
已完成
不适用
ongterm outcome of patients with fainting spells at the emergency department. How effective is a standardised approach at improving the time to correct diagnosis, quality of life and decreasing healthcare costs?Syncope, fainting spells, transient loss of consciousness. Wegraking, flauwvallen.NL-OMON23988MC, neurology department. Prof. J.G. van Dijk/ Dr. R.D. Thijs.550
已完成
不适用
Developing a Decision Support System at Emergency Room triage (DESSERT) for predicting health outcomesACTRN12621001567819The Health Research Council of New Zealand (HRC)530,165
尚未招募
不适用
Study for medical support using smart devise for IBD patients under the novel coronavirus prevalence.Inflammatory Bowel DiseaseJPRN-UMIN000040539Tokyo Medical and Dental University2,000
