Tiyese Jeranji spoke to a variety of experts about the landmark study behind this proclamation and asked what AI-aided X-ray interpretation may mean for countries with high TB burdens.
‘The results are in: Artificial intelligence outperforms humans at reading chest X-rays for signs of tuberculosis,’ proclaimed a recent newsletter of the Stop TB Partnership. Spotlight spoke to a variety of experts about the landmark study behind this proclamation and asked what AI-aided X-.
Around 10 million people developed tuberculosis (TB) in 2019. TB is the leading cause of death by an infectious disease globally, causing 1.4 million deaths last year – although in 2020 deaths due to Covid-19 will likely surpass deaths caused by TB.
While there are many factors contributing to the high rates of TB disease and deaths, failing to diagnose many people living with TB and provide them with appropriate treatment is a key contributor to the spread of TB and the high number of deaths.
“Without early and accurate diagnosis and rapid linkage to care, TB continues to spread in households and communities, and people with TB are put at greater risk of morbidity and mortality from the disease,” writes David Branigan of the NGO Treatment Action Group (TAG) in the organisation’s recently published
South Africa: X-Rays and AI Could Transform TB Detection in SA, but Red Tape Might Delay Things allafrica.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from allafrica.com Daily Mail and Mail on Sunday newspapers.