Image Enhancement Assistant: Create a user-friendly tool that employs AI algorithms to Automatically Identify artifacts in CT Scans
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- To assess the accuracy, sensitivity, and specificity of the AI-powered Image Enhancement Assistant in detecting and identifying artifacts in CT scans to improve diagnostic quality
研究概览
简要总结
This clinical trial evaluates the effectiveness of the AI-powered Image Enhancement Assistant, a novel tool designed to detect and address artifacts in CT scans. The assistant leverages advanced AI algorithms to identify common image quality issues such as noise, motion blur, and streak artifacts, ensuring improved diagnostic accuracy and reducing the need for repeat scans.
The trial aims to measure the tool’s accuracy (sensitivity and specificity) in artifact detection and its impact on clinical workflow efficiency, including time saved and reduction in diagnostic errors. By integrating seamlessly into existing medical imaging workflows, the Image Enhancement Assistant promises to enhance patient care, optimize resource utilization, and improve overall healthcare outcomes. The findings from this trial will contribute to validating the utility of AI-driven tools in modern diagnostic imaging.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 10.00 Year(s) 至 90.00 Year(s)（—）
- 性别
- All
入选标准
- •1.Patients referred for CT scans of any anatomical region (e.g., thorax, abdomen, brain) for diagnostic evaluation.
- •2.Patients who provide written informed consent to participate in the study.
- •3.Individuals whose medical condition requires CT imaging for diagnosis, treatment planning, or follow-up.
- •4.Patients whose CT scans need to be evaluated for potential artifacts affecting diagnostic quality.
- •5.Patients who are clinically stable and can participate without immediate life-threatening conditions.
排除标准
- •1.Patients unable or unwilling to provide informed written consent.
- •2.Patients with critical or life-threatening conditions that require immediate intervention, making participation in the trial unfeasible.
- •3.Pregnant individuals to avoid potential risks or confounding factors.
- •4.Scans that are too degraded or incomplete for the app to process effectively.
- •5.Patients whose CT scans have already been flagged and addressed for artifacts prior to the study.
结局指标
主要结局
To assess the accuracy, sensitivity, and specificity of the AI-powered Image Enhancement Assistant in detecting and identifying artifacts in CT scans to improve diagnostic quality
时间窗: At baseline, 4 weeks, and 8 weeks post-intervention.
次要结局
- To evaluate the impact of the AI-powered Image Enhancement Assistant on clinical workflow efficiency and decision-making by reducing the time taken for image quality assessment and the number of repeat scans required.(within 24 hours)
研究者
Seetha Rashi
Saveetha medical college and hospital, Saveetha institute of medical and technical sciences