Artificial intelligence could reduce barriers to tuberculosis care

A new study led by faculty at the University of Georgia demonstrates the potential of using artificial intelligence to transform tuberculosis (TB) treatment in low-resource communities. And while the study focused on TB patients, it has applications across the health care sector, freeing up health care workers to perform other necessary tasks.