Radiologists, being human, are not perfect which limits their diagnostic accuracy.
In many parts of the world, radiologists are also in short supply.
We are using state of the art deep neural networks to develop algorithms that can interpret medical images with an accuracy that's comparable or even exceeds that of radiologists at a much lower cost.
Co-founder and CTO
Gift Gana is an indie-software developer and his firm Avelgood Apps has won awards like the Opera Top Apps Award 2013 in the Sport and Health category. At Avelgood he developed a bird species idenfication app whose image recognition technology is now being adapted to medical images. He graduated with a BSc (Hons) Applied Physics and is now studying for an MBA.
Co-founder and Applications Specialist
Tatenda is a diagnostic radiographer with 6 years experience. She has expertise in medical imaging quality control and assurance, medical imaging safety and health informatics. She holds a post-graduate diploma in Ultrasound from Jefferson Ultrasound Radiology & Education Institute, USA and a Bsc (Hons) Radiography from NUST, Zimbabwe. In 2015 she received a scientist grant from IUPAP.