MEDICAL IMAGES + ARTIFICIAL INTELLIGENCE
=
MORE ACCURATE & PERVASIVE DIAGNOSIS

Dr CADx is a computer aided diagnostic system to help doctors diagnose medical images more accurately in order to provide better patient outcomes and save lives, and to provide pervasive radiology diagnostics in underserved regions.

Why we are building it

Radiologists, being human, are not perfect which limits their diagnostic accuracy. Studies have quantified their diagnostic accuracy to be 70% on average. As a result, of the 3.6 billion medical images that are taken each year, about 1 billion scans are misdiagnosed resulting in patients frequently failing to get the right treatment on time, leading to undue suffering and even death.

Additionally, in many parts of the world, radiologists are in short supply. E.g. an estimated 170 million patients in Africa do not have access to a radiologist to review their medical images.

How we are solving the problem

Dr CADx, through a computer aided diagnostic system that helps doctors diagnose medical images more accurately and at a low cost, will reduce the human errors that have dire consequences for patients and drive up medical costs. By deploying an artificial intelligence system that will be available at any given time of the day — even in remote areas — we will greatly improve the quality of patient management and save lives, especially in the marginalized areas of the developing world.

In the past 6 months we developed a prototype which currently works with chest X-rays to diagnose TB and lung cancer, and achieves an accuracy of 82%. We are currently working on improving the accuracy and the robustness of the system to deal with subtleties of images taken with imaging equipment from different manufacturers, use of varying contrasts etc.

Chest X-ray

X-rays

CT Scan

CT Scan1

MRI

Magnetic Resonance Image (MRI)2

Ultrasound

Ultrasound

Team


Gift Gana

Gift Gana

Co-founder and CEO

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 has taken postgraduate courses in Business Management.

Tatenda Madzorera

Tatenda Madzorera

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.

Andrew Chikomba

Andrew Chikomba

Executive Chairman

Andrew is a Serial Entrepreneur , Founder and CEO of Gemwitts Enterprises where he brings forth a wealth of expertise in ICT and Renewable Energy ventures in Africa. Andrew is a 2015 Mandela Washington Fellow as well as a 2016 Cordes Fellow .He also received the Young Entrepreneur of the Year 1st Runner Up Award in 2014. Andrew is a Rotarian and also serves as a Board Trustee of charity organizations such as Harvest Family Village and Mind the Gap.

You can be part of this healthcare innovation


We have managed to make the aforementioned progress using our own limited funds. We are now looking for funding to accelerate the pace of development of our solution and take it to clinical trials. We are planning to run a crowdfunding campaign starting at the end March 2017, to get the financial support of people like you who also believe that our healthcare systems can do better. Sign-up to our mailing list and you will be the first know when our Indiegogo campaign goes live, and you can make your contribution towards more accurate diagnosis and help save lives.

Subscribe to the future of healthcare

* indicates required

Accolades


Startups' Programs Membership


We to hear from you!

Email: info@drcadx.com

Tel: +263 773 738 135