We developed AI systems for automated diagnostics of 14 chest conditions including pneumonia, fibrosis, hernia, and pleural effusion with chest X-rays, and breast cancer with mammograms.
We are currently testing and improving the AI solutions.
We have developed AI systems towards malaria, the screening of COVID-19 as well as Tuberculosis related damages from chest X-Rays. We continue to develop AI solutions towards the many infectious diseases plaguing Africa and the world.
We are currently testing and improving the AI solutions.
minoHealth AI Labs applies Artificial Intelligence to fields including Biotechnology, Oncology, Regenerative Medicine, Neuroscience, Optometry, Epidemiology and Dietetics/Nutrition.
In Africa, there’s as high as 60,000 patients per doctor ratio in some nations and 9.2 million deaths mainly from communicable and non-communicable diseases. Quality, affordable and accessible healthcare has been a great challenge for Africa. As important as Diagnostics and Radiology is to early treatment and prevention of deaths, African nations have inadequate numbers of Radiologists. For example, South Africa has only 1.2 Radiologists for every 100,000 people, whilst Ghana has only 34 registered Radiologists in the country (1 Radiologist for every 800,000 people).
And so in order to assist in democratizing quality and affordable for all in Africa, we founded minoHealth, where we use Artificial Intelligence(AI) for automated diagnostics, forecasts and prognostics. We've developed AI systems for conditions including breast cancer, pneumonia, fibrosis, hernia, edema, cardiomegaly, emphysema, effusion and pneumothorax. The system simply takes a medical image as input and then determines if the chosen condition is present or not (diagnostics), if it'd develop (forecasts) and its progression (Prognostics). minoHealth also uses cloud computing to store patient health data and make it easily accessible to physicians on all Web connected devices. We also use Data Science to analyse collected data in order to generate visualized important health statistics that can inform decisions and policy making. Collected data and visualized health statistics are aggregated from various health facilities and presented in a central portal as either regional or national health statistics.
With our research lab, minoHealth AI Labs, we also research how Artificial Intelligence can be used to save and improve lives. We apply AI to Biotechnology, Neuroscience, Optometry, Oncology, Epidemiology, Nutrition/Dietetics, etc. Our paper ScaffoldNet was recently featured in the book ‘Advances in Information and Communication’. And our Cancer Cell Line Classification paper featured in Journal of Industry-University Collaboration.
GK-0735-5354
East Legon Hills, Accra, Ghana.