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A Diagnostic Test on DeepDoc-an AI-based Decision Support System

Stroke Clinical Trial

Official title:
DeepDoc - Clinical Validation of an AI-based Decision Support System in the Early Diagnostic Evaluation of Neurological Diseases: a Prospective Multi-center Study

Clinical Trial Summary

DeepDoc is an AI-based decision support system for the early etiology diagnosis of neurological diseases using clinical data points from patients admitted to hospital within 24 hours.This study aims to evaluate whether the diagnosis of the DeepDoc AI-based decision support system is better than the doctor's initial diagnosis by a multi-center, superiority diagnostic study.

Clinical Trial Description

The doctor completes the admission note within 24 hours after the patient is admitted to the hospital. After informed consent is given to the patient who meet the inclusion criteria, open the DeepDoc to fill in the patient identification information. Then take the picture of the initial diagnosis of the admission note page and upload it to DeepDoc, fill the doctor's initial diagnosis into the DeppDoc. And put the patient's clinical data points into the DeepDoc to get a DeepdDoc diagnosis. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04055766
Study type Observational [Patient Registry]
Source Xijing Hospital
Contact Zhao Gang
Phone 02984775368
Email zhaogang@fmmu.edu.cn
Status Not yet recruiting
Phase
Start date September 1, 2020
Completion date March 1, 2021
View Details
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