RecruitingNCT06791421

AI-Driven Genotype Prediction Using EHR and Multimodal Data

Predicting Patient Genotypes Using Electronic Health Records and Multimodal Data Through AI-Based Models

Sponsor

The Eye Hospital of Wenzhou Medical University

Enrollment

100,000 participants

Start Date

Jul 1, 2023

Study Type

OBSERVATIONAL

Conditions

Genotype

Summary

The goal of this clinical study is to explore the potential of using electronic health records (EHR) and multimodal data (such as imaging, lab results, and clinical history) to predict a patient's genotype. The study will evaluate whether predictive models based on this non-genetic data can accurately infer genetic information, which traditionally requires direct genetic testing.

Eligibility

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying AI-Predictng Model for people with genotype. The study is currently recruiting participants at 4 locations.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERAI-Predictng Model

The intervention in this study involves an AI-based predictive model designed to analyze and integrate patient electronic health records (EHR), clinical lab results, and multimodal imaging data (e.g., X-rays, MRIs, CT scans). The AI model is trained to predict a patient's genotype based on these non-genetic data sources. This model uses machine learning algorithms to detect patterns and infer genetic information that would traditionally require direct genetic testing. There are no active treatments or genetic tests involved in this intervention; rather, the AI system serves as a tool to predict genetic information from available clinical data, offering a non-invasive and potentially more accessible alternative to genetic testing.