Automated Detection of Malarial Retinopathy in Patients Diagnosed With Cerebral Malaria

CompletedINTERVENTIONAL
Enrollment

834

Participants

Timeline

Start Date

March 15, 2022

Primary Completion Date

April 30, 2024

Study Completion Date

April 30, 2024

Conditions
Cerebral MalariaMalarial Retinopathy
Interventions
DIAGNOSTIC_TEST

Automated software for malarial retinopathy detection

"ASPIRE mobile application (App) software is intended to perform computer-aided detection of malarial retinopathy (MR) in digital retinal images of clinically diagnosed cerebral malaria (CM) patients under 21 years of age, to be used by a healthcare provider (user) with basic training, in primary care settings such as healthcare clinics and hospitals. The mobile Application hosts a software module developed using Deep-Learning algorithms to analyze digital retinal images of diagnosed CM patients for features suggestive of malarial retinopathy. ASPIRE requires at least four adequate quality retinal images (as determined by the image quality analysis software) captured from a patient to process it for MR detection. ASPIRE outputs a screening result of Malarial retinopathy detected or Malarial retinopathy not detected to the user. ASPIRE software is designed and validated to perform at clinically acceptable sensitivity and specificity in the detection of MR."

Trial Locations (1)

Unknown

Mlambe mission hospital, Mlambe

All Listed Sponsors
collaborator

National Institute of Allergy and Infectious Diseases (NIAID)

NIH

collaborator

Kamuzu University of Health Sciences

OTHER

collaborator

Federal Ministry of Health, Nigeria

OTHER_GOV

lead

VisionQuest Biomedical LLC

INDUSTRY