Urosmart application for urine sediment analysis and its role in improving accuracy and effeciency in diagnostics
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 30
- 试验地点
- 1
- 主要终点
- To determine whether the UroSmart application improves the accuracy and efficiency of urine sediment analysis compared to manual microscopy.
研究概览
简要总结
UroSmart is an advanced, image-based application that uses artificial intelligence to analyze urine samples quickly and accurately. It identifies and classifies cells, crystals, and other elements in urine sediments, reducing the need for manual microscopic examination. By automating the process, UroSmart minimizes human error, saves time for laboratory staff, and ensures consistent, reliable results. This leads to faster diagnosis of urinary tract infections, kidney disorders, and other related conditions, ultimately improving patient care and clinical efficiency.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 20.00 Year(s) 至 80.00 Year(s)（—）
- 性别
- All
入选标准
- •Mid stream urine obatined patients with lower urinary tract symptoms.
排除标准
- •Contaminated or Turbid samples with visible debris.
结局指标
主要结局
To determine whether the UroSmart application improves the accuracy and efficiency of urine sediment analysis compared to manual microscopy.
时间窗: 2 days
次要结局
- Secondary outcomes include improvements in diagnostic accuracy, efficiency, and usability of the UroSmart urine sediment analysis application compared with standard microscopy.(1 week)
研究者
Dr Jeyachitra R
Saveetha Medical College and Hospital