Ophthalmic AI-Assisted Medical Decision-Making
A Study on Ophthalmic Multimodal AI-Assisted Medical Decision-Making Based on Imaging and Electronic Medical Record Data
1 other identifier
interventional
100,000
2 countries
5
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Dec 2024
Typical duration for not_applicable
5 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2024
CompletedFirst Submitted
Initial submission to the registry
December 9, 2024
CompletedFirst Posted
Study publicly available on registry
January 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 30, 2026
August 20, 2025
August 1, 2025
2.1 years
December 9, 2024
August 15, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (9)
Area Under the Curve (AUC)
AUC of the ROC curve, used to quantify diagnostic accuracy. No unit (a ratio or percentage, typically expressed as a number between 0 and 1).
2 years
Sensitivity
Sensitivity (also called True Positive Rate) is a measure of how well a model identifies positive instances. It is defined as the proportion of actual positive cases correctly identified by the model. No unit (a ratio or percentage, typically expressed as a percentage).
2 years
Specificity
Specificity (also called True Negative Rate) measures the proportion of actual negative cases correctly identified by the model. No unit (a ratio or percentage, typically expressed as a percentage).
2 years
Accuracy
Accuracy measures the proportion of all correct predictions (true positives and true negatives) out of the total number of cases evaluated by the model. No unit (a ratio or percentage, typically expressed as a percentage).
2 years
False Positive Rate
False Positive Rate (FPR) measures the proportion of actual negative cases that are incorrectly identified as positive by the model. No unit (a ratio or percentage, typically expressed as a percentage).
2 years
False Negative Rate
False Negative Rate (FNR) measures the proportion of actual positive cases that are incorrectly identified as negative by the model. No unit (a ratio or percentage, typically expressed as a percentage).
2 years
Postoperative Complication Rate
Percentage (%) of patients experiencing postoperative complications.
2 years
Recurrence Risk Rate
Percentage (%) of patients experiencing recurrence during the follow-up period.
2 years
Survival Rate
Percentage (%) of patients alive, calculated using Kaplan-Meier survival curves.
2 years
Secondary Outcomes (9)
System Usability Score
2 years
AI System Response Time
2 years
System Failure Rate
2 years
User Interface Design Satisfaction
2 years
Patient Satisfaction Score
2 years
- +4 more secondary outcomes
Study Arms (2)
AI-assisted medical decision-making
EXPERIMENTALPatients in the intervention group will receive AI-assisted medical decision-making based on multimodal data.
Traditional medical decision-making
NO INTERVENTIONPatients in the control group will receive traditional medical decision-making, where treatment and diagnostic decisions are made solely by the attending physician based on clinical judgment, without the support of AI-assisted system.
Interventions
The intervention in this study involves an AI system that leverages multimodal data fusion to support the clinical decision-making and evaluation of ophthalmic diseases. Patients in the intervention group will undergo standard ophthalmic examinations, with clinical decisions guided by the recommendations generated by the AI system. In contrast, patients in the control group will receive only standard ophthalmic examinations and treatment, without the support of AI-assisted decision-making tools.
Eligibility Criteria
You may qualify if:
- 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.
- Treatment Adherence: Participants must demonstrate the ability to understand and adhere to the study's requirements, including compliance with follow-up visits, examination schedules, and treatment recommendations. Patients must agree to participate in regular assessments and data collection, including imaging exams, laboratory tests, and follow-up evaluations as required by the study protocol.
You may not qualify if:
- 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.
- Pregnancy or Lactation: Pregnant or breastfeeding women, for whom there may be potential risks associated with ocular treatment or imaging procedures. Such cases will be evaluated on an individual basis to ensure patient safety.
- Mental Health or Cognitive Impairment: Patients diagnosed with significant mental health disorders or cognitive impairments that prevent them from fully understanding the nature and risks of the study, or from complying with the treatment regimen and follow-up procedures.
- Drug Allergies or Severe Reactions: Patients with known allergies or severe adverse reactions to any medications or ophthalmic treatments likely to be used during the study, which could pose a health risk to the patient.
- Current Participation in Other Clinical Trials: Patients who are concurrently involved in other interventional clinical trials (especially those related to ophthalmology), as this may lead to conflicting treatments or interfere with the assessment of the study's outcomes.
- Inability to Comply with Follow-up Requirements: Patients who, due to logistical, health-related, or personal factors, are unable to comply with the required follow-up visits, treatment regimens, or data collection, which are essential for the study's longitudinal analysis.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (5)
ZhuHai Hospital
Zhuhai, Guangdong, China
First Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, 325000, China
Second Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, 325000, China
The Eye Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China
Macau University of Science and Technology Hospital
Macao, Macau
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Chief Scientist
Study Record Dates
First Submitted
December 9, 2024
First Posted
January 1, 2025
Study Start
December 1, 2024
Primary Completion (Estimated)
December 30, 2026
Study Completion (Estimated)
December 30, 2026
Last Updated
August 20, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will not share