At AEyeCARE, we use AI to Save Lives
The Eye is a Diagnostic Window to the Brain.
Saving The Lives Of The Next Generation For Africa
Inspiring the future of malaria diagnosis using AI
We end preventable blindness using artificial intelligence.
About Us
We improve the survival of children suffering from cerebral malaria by making sure every child is accurately diagnosed within the first hour of arrival at the children emergency.
We prevent blindness in patients suffering from diabetes by enhancing fast and early detection of diabetic retinopathy.
We enable early detection of end-organ damage in people suffering from diabetes and hypertension.
We look forward to enabling early detection of Glaucoma and Macular degeneration in low-income countries.
The Problems We Solve
The Malaria Burden
The Sub-Saharan African Region carries a disproportionately high share of the global malaria burden. In 2022, the Region was home to 94% of malaria cases (233 million) and 95% (580 000) of malaria deaths. Children under-5 accounted for about 80% of all malaria deaths in the Region.
The Cerebral Malaria Mortality
Cerebral Malaria accounts for almost half of the mortality from severe malaria
Without treatment, Cerebral Malaria (CM) is nearly 100% fatal. Mortality is decreased by effective antimalarials but remains unacceptably high, at 15%–20%. The WHO defines CM as an unarousable state (Glasgow coma score <11 in adults or a Blantyre coma score <3). CM is responsible for almost half of the mortalities from Severe Malaria.
The Eye and Brain Connection.
The eyes as windows into the body. Did you know that the eye is the only place in the body where both neurons and blood vessels can be seen without surgery? This makes the eyes invaluable as a way to gather information about what is happening inside us – both with the brain and our blood. With the right expertise and equipment, someone looking at the blood vessels in our eye can tell if we have high blood pressure, diabetes or heart disease.
Challenge with diagnosis
Cerebral Malaria accounts for almost half of the mortality from severe malaria. Cerebral Malaria is highly misdiagnosed. It appears it gives Physicians tunnel vision. Finding malaria parasites in a blood smear or a positive rapid diagnostic test (RDT) in a sick child does not necessarily mean that malaria is the cause of the illness. Yet severe malaria is the usual diagnosis in a hospitalised febrile African child with a positive blood smear or RDT. Differentiating severe bacterial infections from severe malaria is difficult, and the two commonly coexist. This is where ASPIRE comes in to help differentiate this.
Malaria Retinopathy in Cerebral Malaria
The pathogenesis of malarial retinopathy is associated with that of cerebral malaria, i.e. sequestration of infected red blood cells in retinal and cerebral microvasculature, causing vessel obstruction and reduced blood flow resulting in downstream ischemia and hypoxia.
The Idea; Making Cerebral Malaria diagnosis accurate in under-5 Children
By combining AI and advancements in retina imaging technology, we have brought a much-needed screening tool called ASPIRE (Autodetection Software for Plasmodium Infectioni in Retinal Exams ) in managing Cerebral malaria in unconscious children.
Project ASPIRETM
ASPIRE 2.0
- This project aims to enhance ASPIRE’s capabilities by integrating a large language model. This update will allow health workers to input clinical history, physical examination findings, investigation results, and relevant information, generating treatment guidelines even in facilities lacking pediatric specialists.
- “CM real-time incidence App”,
- “CM incidence prediction based on weather”
AI Application On Diabetes & Hypertension
AI-Driven Diabetic and Hypertensive Screening: Empowering Health in Developing Nations
In many developing nations, access to early detection and management of chronic conditions like diabetes and hypertension remains a challenge due to limited healthcare resources, infrastructure, and awareness. Our AI-driven screening solution is designed to bridge this gap, bringing affordable, accessible, and accurate health monitoring to those who need it most.
Key Benefits for People Living in Developing Nations:
- Early Detection for Better Outcomes:
Our AI system enables early identification of diabetes and hypertension, allowing individuals to seek treatment before these conditions lead to severe complications like heart disease, kidney failure, or stroke. Early intervention is crucial in preventing long-term health costs and improving quality of life.
- Affordable and Accessible Screening:
In many low-income areas, regular health check-ups may be out of reach due to high costs or long travel distances to medical facilities. With AI-powered screening, individuals can get accurate results from the comfort of their homes or local clinics, making healthcare more affordable and accessible. - Empowering Communities with Knowledge:
Our AI solution not only detects conditions but also provides users with easy-to-understand health insights and recommendations. This helps people living in developing nations better understand their health status, empowering them to make informed decisions about lifestyle changes and seek medical help when necessary. - Reducing Healthcare Burden:
By automating the screening process, healthcare professionals can focus on more critical cases while AI helps handle routine screenings. This reduces the pressure on overburdened healthcare systems, ensuring that resources are used efficiently.
Timeline
A Visual Journey
Our Partners
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