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A new technique helps artificial intelligence systems recognize when they don't know the answer, addressing "wrong-but-confident" AI outputs across science and society.

A $2.7 million award from the National Institutes of Health, will allow a U of A research team to develop imaging technology that will make it easier for clinicians to take high-resolution images from deep inside tissue.

The University of Arizona is expanding what's possible in brain and body health research by pairing advanced MRI technology with AI-driven methods.

After testing five sources of flood data, their analysis found that combining or comparing data could improve disaster response and recovery.

A study showed that when compared with students, ChatGPT 3.5 was less likely to correctly answer questions on therapeutics exams focused on clinical applications and cases.

A graduate student is creating AI models to analyze smartphone data and detect behavioral changes that could lead to timely intervention and treatment.