CTRI/2024/02/062590招募中不适用
Comparative Trial Of Manual Vs Automated Artificial Intelligence Assisted Detection Of Fungal Elements In Patients With Dermatophytic And Pityriasis Versicolor Infection Using KOH Smear And Direct Blue Is Dye In A Tertiary Care Hospital
Bigtec Pvt Ltd, Bangalore1 个研究点 分布在 1 个国家目标入组 315 人开始时间: 2024年3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
- 315
- 试验地点
- 1
- 主要终点
- Proportion of positive detection of fungal elements by the method utilizing Artificial Intelligence compared to that of manual detection of fungal elements
研究概览
简要总结
In this study we intend to evaluate the performance of Artificial intelligence in the detection of skin surface fungal infections from the KOH smear of skin, hair and nail scraping materials which are used for confirmation of dermatophytic infection and pityriasis versicolor in clinically suspected patients.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 8.00 Year(s) 至 90.00 Year(s)（—）
- 性别
- All
入选标准
- •To compare the sensitivity of manual (using it as gold standard) vs automated AI assisted method to detect fungal elements in patients with signs and symptoms suggestive of dermatophytic and Pityriasis Versicolor infection using smears stained with KOH stain Compare the sensitivity of manual vs automated AI assisted method in the detection of fungal elements using smear stained with Direct Blue IS dye.
排除标准
- 未提供
结局指标
主要结局
Proportion of positive detection of fungal elements by the method utilizing Artificial Intelligence compared to that of manual detection of fungal elements
时间窗: 18 months
次要结局
- Not Applicable(Not Applicable)
研究者
Dr Madhukara J
St. John’s Medical College
研究点 (1)
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