Health informatics

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, ...


New algorithms could improve pediatric tuberculosis diagnosis

Tuberculosis stands as one of the leading causes of death among young people across the world. Modeling studies suggest that in over 96% of the deadly cases involving children younger than 15 years old, the infected child ...

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