Artificial Intelligence

Dr. Takis Benos' new study may help clinicians predict the tipping point of when lung function begins to decline.

Dr. Yiyang Liu's projects will focus on strategies aimed at women and young adults.

Representatives from academia, industry and government gathered for DAISY 2024.

Their study used AI to predict the emergence of dominant Omicron COVID-19 variants with very high precision and accuracy.

The AI Fellows program fosters doctoral students’ training and research in AI and encourages out-of-the-box ideas.

Members of the University of Florida College of Public Health and Health Professions came together recently to discuss the power and potential of artificial intelligence for improving health care delivery as part of the college’s AI Seminar Series, sponsored by the PHHP Artificial Intelligence Work Group.

It is important for medical experts to examine AI solutions results to ensure accuracy in diagnosing and treating patients.

Dr. Sai Zhang and colleagues will apply AI to an analysis of the different types of central nervous system cells affected by ALS.

Ph.D. students Raghuveer Chandrashekhar and Jordan Major have been selected to take part in 2024 SIMUVACTION on AI.

The project combines a massive dataset of sophisticated muscle imaging data with UF’s powerful artificial intelligence computing.