A first-year medical student at Mbarara University of Science and Technology (MUST) Asiimwe Arnold Caleb has developed an artificially intelligent model that diagnoses and screens Covid-19 patients based on their X-Ray images, Campus Bee has learned.
As of September 30th, the artificially intelligent model that had correctly diagnosed a Covid-19 patient at Mulago Grade B hospital had undergone a proof of concept at Mbarara University where it is being used for the analysis of Covid-19 Xray images by medical professionals.
The 20-year-old is now collaborating with NextGenCoviAI and MUST’s Dr. Wasswa William to make sure the model is fine-tuned for analysis of Covid-19 Xray images while collaborating with the ministry of health.
The original motivation of the innovation, Asiimwe says, was from the high cost and long periods the PCR test takes to produce results yet with a computer-aided triaging system, the process of separating Covid-19 X rays from non-Covid19 X-rays can be quickened while lifting the burden on radiologists.
“We will not only be able to streamline higher risk victims to get the immediate help they need but also communicate how the network works to clinicians, ultimately improving the national standard of care during this period,” Asiimwe told this campus news website.
“The challenges of developing AIs for medical diagnosis mostly lie in the limited number of datasets to train models. That’s why this AI model has come after six months of Covid-19,” he says.
With this, medical diagnostics will have taken a leap forward through computer vision by using these techniques in more fields of medical diagnostics.
The entire project is approved by; Dr. Wasswa William, Dr. Tusubira Deus, and all the youth that work with Mbarara University Innovations Labs managed by CAMTech Uganda.
“The Department of Biochemistry at Mbarara University together with the faculty of applied science and technology of Mbarara University of science and technology have been working on developing new diagnostic tools. We believe Arnold’s work has great potential to advance this kind of work.” Doctor Tusubira says.
We shall keep you posted.