Artificial Intelligence System for the Detection and Prediction of Kidney Diseases Using Ocular Information

Sun Yat-sen University

Status: Unknown

Conditions: Kidney Diseases; Ophthalmology; Artificial Intelligence

Treatments: Other: Diagnostic Test: Chronic Kidney Diseases

Study type: Observational

Funder types: Other

Identifiers

NCT05223712

AIKD-2021

Details and patient eligibility

About

This is an retrospective and prospective multicenter study to develop and validate an artificial intelligent (AI) aided diagnosis, therapeutic effect assessment model including chronic kidney disease (CKD) and dialysis patients starting from April 2009, which is based on ophthalmic examinations (e.g. retinal fundus photography, slit-lamp images, OCTA, etc.) and CKD diagnostic and therapeutic data (routine clinical evaluations and laboratory data), to provide a reliable basis and guideline for clinical diagnosis and treatment.

Enrollment: 4,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Patients previously received kidney biopsy, ophthalmic examinations and routine examinations of the department of nephrology during in-hospital period with BCVA>0.5.

Exclusion criteria

• Patients without retinal fundus images or kidney diseases.
• The quality of the retinal fundus images can not meet the requirement for furthur analysis.
• Severe loss of results of routine examinations of the department of nephrology.

Trial design

4,000 participants in 6 patient groups

Development Dataset 01

Description:

Slit-lamp, retinal fundus images, OCTA and kidney diseases examinations collected from Department of Nephrology of the First Affiliated Hospital of Sun Yat-sen University

Treatment:

Other: Diagnostic Test: Chronic Kidney Diseases

Development Dataset 02

Description:

Slit-lamp, retinal fundus images, OCTA and kidney diseases examinations collected from Medical Centre of Aikang Health Care, Guangzhou, China

Treatment:

Other: Diagnostic Test: Chronic Kidney Diseases

Validation Dataset 01

Description:

Slit-lamp, retinal fundus images, OCTA and kidney diseases examinations collected from Department of Nephrology of the First Affiliated Hospital of Sun Yat-sen University

Treatment:

Other: Diagnostic Test: Chronic Kidney Diseases

Validation Dataset 02

Description:

Slit-lamp, retinal fundus images, OCTA and kidney diseases examinations collected from Medical Centre of Aikang Health Care, Guangzhou, China

Treatment:

Other: Diagnostic Test: Chronic Kidney Diseases

Test Dataset 01

Description:

Slit-lamp, retinal fundus images, OCTA and kidney diseases examinations collected from Department of Nephrology of the First Affiliated Hospital of Sun Yat-sen University

Treatment:

Other: Diagnostic Test: Chronic Kidney Diseases

Test Dataset 02

Description:

Slit-lamp, retinal fundus images, OCTA and kidney diseases examinations collected from Medical Centre of Aikang Health Care, Guangzhou, China

Treatment:

Other: Diagnostic Test: Chronic Kidney Diseases