AI-Agent for Automated Diagnosis and Predicting Using EHR and Multimodal Data
Recruiting
Observational Study
AI Agent
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
Healthy Volunteers Welcome
You do not need to have the condition being studied to take part.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
Ready to participate?
Review the details below, then apply to join this clinical trial.
At a Glance
Sex
Any
Study type
Observational
Participants needed
2,000,000 (estimated)
Sponsor
The Eye Hospital of Wenzhou Medical University · Other
Who this trial is looking for
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
The goal of this clinical study is to evaluate the effectiveness of an AI agent in diagnosing and predicting diseases using electronic health records (EHR) and multimodal imaging data. The AI agent leverages advanced machine learning algorithms to process and analyze diverse health data sources, aiming to assist healthcare providers in making more accurate diagnoses and predictions.
Trial Locations
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Status
Eligibility Criteria
Inclusion Criteria:
1. Participants must have comprehensive electronic health records (EHR) available, including demographic information, medical history, and laboratory results.
2. Participants must have available multimodal imaging data (e.g., X-rays, CT scans, MRIs, ultrasounds) relevant to thei…
Inclusion Criteria:
1. Participants must have comprehensive electronic health records (EHR) available, including demographic information, medical history, and laboratory results.
2. Participants must have available multimodal imaging data (e.g., X-rays, CT scans, MRIs, ultrasounds) relevant to their health condition.
3. Participants must have a confirmed diagnosis of one or more diseases or health conditions based on clinical records or imaging data.
4. Patients must provide consent for the use of their historical health data for research purposes.
Exclusion Criteria:
1. Participants with ambiguous or unverifiable diagnoses that cannot be accurately categorized.
2. Duplicate or redundant patient data (e.g., repeated records of the same patient without clear differentiation).
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