Advanced AI-powered Workstation for Radiologists Based on Generative Artificial Intelligence
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 27
- 试验地点
- 2
- 主要终点
- Radiologist satisfaction levels
研究概览
简要总结
This study aims to develop a generative AI assistant for radiologists to automate the processing of electronic medical records (EMRs) and provide relevant clinical information, optimizing diagnostic interpretation workflows.
详细描述
This study aims to develop and validate a generative AI-assistant designed to optimize radiologists' workflow by automatically processing electronic medical records (EMRs) and generating structured clinical summaries. The AI tool will extract and prioritize relevant patient data to support accurate and efficient interpretation of diagnostic imaging studies.
The study rationale originates from increasing radiology workloads and the need to reduce time spent reviewing EMRs while maintaining diagnostic accuracy. The proposed AI solution specifically targets these issues through advanced natural language processing capabilities, with particular attention to optimizing time efficiency while maintaining or improving diagnostic accuracy.
The study consists of 9 Stages:
Stage 1: Theoretical Foundation.
1.1 Systematic review: comprehensive analysis of existing LLM applications in radiology.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Board-certified practicing radiologist;
- •≥3 years of experience in diagnostic imaging;
- •Proficiency in using UMIAS systems;
- •Signed informed consent form.
排除标准
- •Participation in other studies;
- •Unwillingness to adopt new technologies in daily practice;
- •Conflict of interest.
结局指标
主要结局
Radiologist satisfaction levels
时间窗: 6 months
Radiologists' satisfaction levels with the AI-powered workstation will be measured using a specially developed questionnaire.
次要结局
- Change in time required for medical record analysis(6 months)
- Change in study interpretation time(6 months)
- Change in the number of reporting errors(6 months)
研究者
Anton V. Vladzymyrskyy
Deputy Director for Research
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department