CTRI/2024/07/071749尚未招募不适用
Artificial Intelligence-assisted Dementia Prediction Model
Dr Deepak Patkar1 个研究点 分布在 1 个国家目标入组 1,625 人开始时间: 2024年9月1日最近更新:
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 1,625
- 试验地点
- 1
- 主要终点
- The primary outcome of the study aims to develop, train and test an AI-assisted model for predicting the type of dementia based on retrospective cross-sectional data.
研究概览
简要总结
This is a retrospective cross-sectional study in which the DICOM images of patients who have undergone dementia protocol of MRI will be used. This DICOM image data will be used to train the predictive model with an aim to predict the diagnosis of dementia and its type based on radiological findings.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 65.00 Year(s) 至 99.00 Year(s)（—）
- 性别
- All
入选标准
- •Be aged 65 years or older Have a diagnosis of dementia by a specialist (Geriatric, Psychiatrist, or Neurologist) Have a live-in caregiver Live in their own homes.
排除标准
- •Schizophrenia Memory complaints Wear a pacemaker Diagnostic of neurological disorder – stroke, epilepsy, multiple sclerosis, traumatic brain injury, brain tumor Contraindications to magnetic resonance imaging.
结局指标
主要结局
The primary outcome of the study aims to develop, train and test an AI-assisted model for predicting the type of dementia based on retrospective cross-sectional data.
时间窗: 5 years
次要结局
- Training and testing the model on 500 retrospective patients data(2 years)
研究者
Dr Deepak Patkar
Nanavati Max Super Speciality Hospital
研究点 (1)
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Artificial intelligence assisted Model for diagnosing types of dementia in patients with memory loss using MRI data for early and timely treatment.CTRI/2024/07/071749Dr Deepak Patkar