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.
Participants must have comprehensive electronic health records (EHR) available, including demographic information, medical history, and laboratory results.
Participants must have available multimodal imaging data (e.g., X-rays, CT scans, MRIs, ultrasounds) relevant to their health condition.
Participants must have a confirmed diagnosis of one or more diseases or health conditions based on clinical records or imaging data.
Patients must provide consent for the use of their historical health data for research purposes.
Participants with ambiguous or unverifiable diagnoses that cannot be accurately categorized.
Duplicate or redundant patient data (e.g., repeated records of the same patient without clear differentiation).
The Eye Hospital of Wenzhou Medical University
Lead sponsor
Wenzhou Medical University
Sponsor institution