Depression

More than 80% of 25-34-year-olds and more than 50% of respondents across all age groups already use AI for mental health care.

In the College of Public Health, researchers are embracing AI’s potential while also interrogating it, testing it, and redesigning it to work better for real people. Faculty are building AI tools to detect cancer earlier, support dementia patients, guide students through biostatistics, document evidence of violence, and flag burnout in caregivers—targeting some of public health’s toughest challenges.

Researchers Farrokh Alemi and Kevin Lybarger receive George Mason University’s first Patient-Centered Outcomes Research Institute (PCORI) award to develop innovative AI technology, including large language models, for improving antidepressant recommendations.

Antidepressants not working well? Let AI prescribe medication

Antidepressant not working? AI may do a better job than your doctor in matching you with the best medicine

NIH grant to fund depression chatbot for Black patients

Tech inefficiencies, piles of (electronic) paperwork, and increased patient volume contribute to burnout of primary care physicians, study finds.

Researchers, led by associate professor Debora Goldberg, spoke with clinicians to better understand what causes burnout and discuss strategies to improve clinician well-being.