Health Day’s Robert Preidt recently reported on a new study that shows researchers can train artificial intelligence to detect tuberculosis (TB) in chest X-rays. This could potentially make TB screening accessible in areas of the world that have limited access to radiologists.
Paras Lakhani, M.D., a radiologist at Thomas Jefferson University Hospital said, “An artificial intelligence solution that could interpret radiographs for presence of TB in a cost-effective way could expand the reach of early identification and treatment in developing nations.”
According to the World Health Organization, TB is among the top 10 causes of death globally. Dr. Lakhani suggested that this artificial intelligence solution could “play a big role in tackling TB.”
The story was picked up by multiple news outlets including MedScape/Reuters and HealthImaging.