Multimodal Machine Learning for Auxiliary Diagnosis of Eye Diseases
Multimodal Machine Learning for Auxiliary Diagnosis of Eye Diseases Using ChatGPT-based Natural Language Processing and Image Processing Techniques
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Chen Zhao
- Phone Number: +86 (021) 64377134
- Email: dr_zhaochen@163.com
Study Contact Backup
- Name: Xinjian Chen
- Phone Number: +86 (0512) 65227399
- Email: xjchen@suda.edu.cn
Study Locations
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Nanjing, China
- The Affiliated Eye Hospital of Nanjing Medical University
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Shanghai, China
- Fudan Eye & ENT Hospital
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Suqian, China
- Suqian First People's Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
The "normal participants" refers to individuals with no concerns or issues related to their eyes.
The "participants with eye-related chief complaints" refers to patients from various eye clinics across China. Each participant must undergo comprehensive medical tests and have their medical records reviewed for diagnosis.
Description
Inclusion Criteria:
- Informed consent obtained;
- Participants should be able to have Chinese as their mother tongue, and be sufficiently able to read, write and understand Chinese;
- For normal participants: individuals should have no concerns related to their eyes.
- For participants with eye-related chief complaints: individuals should have specific concerns or issues related to their eyes.
Exclusion Criteria:
- Incomplete clinical data to support final diagnosis;
- Patients who, in the opinion of the attending physician or clinical study staff, are too medically unstable to participate in the study safely.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Normal participants
Healthy individuals who have no concerns related to their eyes.
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|
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Patients with Eye-related Chief Complaints
Individuals who have specific concerns or issues related to their eyes, which they consider as the main reason for seeking medical attention or making a complaint.
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Patients presenting with eye-related chief complaints initially complete a mobile phone application.
This application utilizes patient medical history and relevant images (such as selfies and photos from eye examinations) to provide intelligent diagnosis.
The diagnosis remains undisclosed to the patients.
Subsequently, patients seek medical attention and undergo clinical examination by a skilled clinician.
The clinical diagnosis is subsequently reviewed by a second experienced clinician.
If the diagnoses align, it is considered the gold standard.
In cases of discrepancy, the consensus reached by the two clinicians becomes the gold standard.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Diagnostic accuracy of multimodal machine learning program
Time Frame: from July 2023 to March 2024
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For each patient, the diagnoses generated by the multimodal machine learning program and the clinical diagnosis provided by skilled clinicians were documented and compared.
Consistency between the two diagnoses indicates the program's precision in clinical practice.
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from July 2023 to March 2024
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- FD-EENT-20230625
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Sharing Time Frame
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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