Ophthalmic AI-Assisted Medical Decision-Making
ConditionOcular Diseases
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
AgeNot listed
SponsorThe Eye Hospital of Wenzhou Medical University
About this trial
This is a multi-center, prospective clinical study designed to evaluate the application and effectiveness of an AI-assisted medical decision support system, leveraging multimodal data fusion, in ophthalmic clinical practice.
Eligibility criteria
Qualifiers
Age Criteria: No age restrictions apply for inclusion in the study.
Ophthalmic Disease Diagnosis: Eligible patients must have a diagnosis of one or more ophthalmic conditions, with the diagnosis confirmed by a qualified ophthalmologist.
Imaging and Clinical Data Requirements: Patients must be able to provide complete ophthalmic imaging data and electronic medical records (EMR) that are comprehensive and accessible for the purposes of the study.
Informed Consent: All patients, or their legal representatives in the case of minors or individuals unable to provide informed consent, must sign a consent form that clearly outlines the study's objectives, procedures, potential risks and discomforts, data usage, and the rights and responsibilities of participants. In the case of minors or those unable to consent, informed consent must be obtained from the patient's legal guardian.
Disqualifiers
Acute or Severe Ocular Diseases: Patients with acute ocular conditions requiring immediate medical intervention, which necessitate exclusion from interventional studies due to the urgency of their treatment.
Serious Systemic Diseases: Patients with serious systemic illnesses that may interfere with the treatment of ocular diseases, impact the effectiveness of the intervention, or complicate the interpretation of study outcomes.
Prior Exposure to Study Interventions: Patients who have previously undergone the intervention being studied or participated in other experimental treatments within ongoing clinical trials, as this may introduce bias or confound the study results.
Incomplete Imaging or Clinical Data: Patients who are unable to provide complete or adequate ophthalmic imaging data or lack a comprehensive electronic medical record (EMR), which are essential for the integrity of the study data.
Trial design
Treatments tested in this trial
- AI-associated strategy
Treatment groups
100,000 Participants
are divided into 2 treatment groupsSponsors and collaborators
The Eye Hospital of Wenzhou Medical University
Lead sponsor
First Affiliated Hospital of Wenzhou Medical University
Collaborator
Second Affiliated Hospital of Wenzhou Medical University
Collaborator
ZhuHai Hospital
Collaborator
Macau University of Science and Technology Hospital
Collaborator
Source ClinicalTrials.gov