Artificial Intelligence

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.

A new study from the College of Public Health, led by Professor Janusz Wojtusiak and Health Services Research doctoral candidate Ghaida Alsadah explores the use of machine learning to predict social isolation among caregivers of individuals with Alzheimer’s Disease and related disorders.

Professor John Cantiello reviews the literature to find out who is cheating, how, and how to head it off

This research is focused on smoking cessation particularly for Virginia youth and is funded in part by a Virginia Foundation for Healthy Youth grant

MeAgainMeds.com, a free AI-powered website, helps clinicians more effectively match patients with the optimal antidepressant using big data.

Dr. Farrokh Alemi is a professor in the Department of Health Administration and Policy at the George Mason College of Public Health. Dr. Alemi’s research expertise includes the use of data mining, natural language processing, and artificial intelligence in health services research. 

Researchers led by Professors Farrokh Alemi and Janusz Wojtusiak found that computerized symptom screenings can supplement at-home COVID-19 tests to better confirm the diagnosis for patients and clinicians.

Research Interests: Data Mining, Data Analytics, Machine Learning