AI-Driven Genotype Prediction Using EHR and Multimodal Data
ConditionGenotype
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorThe Eye Hospital of Wenzhou Medical University
About this trial
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 criteria
Qualifiers
Participants must have comprehensive electronic health records (EHR), including medical history, lab results, and relevant imaging data (e.g., X-rays, MRIs, CT scans).
Participants must have existing genetic testing data available for comparison, if applicable.
Participants must be willing to provide consent for the use of their health data in the study.
Participants must have no active intervention related to genetic testing or prediction during the study period.
Disqualifiers
Participants without available EHR, lab results, or imaging data.
Participants with ambiguous, inaccurate, or unverifiable genetic testing results that cannot be used for comparison.
Patients with significant discrepancies or missing data that would prevent the AI model from making accurate predictions.
Trial design
Treatments tested in this trial
- AI-Predictng Model
Treatment groups
100,000 Participants
are divided into 1 treatment groupSponsors and collaborators
The Eye Hospital of Wenzhou Medical University
Lead sponsor
Wenzhou Medical University
Sponsor institution
Source ClinicalTrials.gov