Stop Racial Bias In Medical A.I And Machine Learning In Africa

Medical AI for African Nations (MAfoAN) Initiative To Bring Free Medical Diagnosis In Africa

Racial bias (a form of “data bias”) in artificial intelligence (A.I.) and machine learning for medical diagnostics is a major problem because most medical data is from North American or Eastern European, White males. This means that women and people of color will be misdiagnosed or under-diagnosed by A.I., which unfairly increases suffering and death.

www.BrainScanology.com and www.InnovaRxGlobal.com have partnered to bring FREE medical diagnostics to the African continent, first through Gambia. The data we collected will form the basis of diagnostic A.I. for detecting diabetic retinopathy (which causes blindness) and rheumatoid arthritis (which debilitates the hands) through SMARTPHONE CAMERAS. This means that our A.I. diagnostics can be deployed anywhere that has a smartphone and internet. Can someone say, “Tele-medicine is awesome!”? See the link below for details about the team, the plan, and the needs.

Also, what we learn from Africans can be translated to African Americans in the USA. We will archive our data online for public research access. We are doing our part to reverse the trend of data bias by training on people of color first, before refining our statistical models to fit everyone else.

For the diabetic retinopathy project, we will also provide FREE diagnoses from licensed optometrists and opthamologists for the Gambian people in return for sharing the eye images for our research.

Buy a shirt to reverse racial and gender bias in medical artificial intelligence research. Follow this link below 👇 to purchase https://www.customink.com/fundraising/medical-ai-for-african-nations-mafoan-initiative

Buy this shirt to support Medical AI for African Nations (MAfoAN) Initiative To Bring Free Medical Diagnosis In Africa

All funds raised will be paid directly to BrainScanology for developing race- and sex-specific medical diagnostics for Africans to detect diabetic retinopathy and rheumatoid arthritis through smartphone cameras.

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