01.27.2026 Seminar Series: Multimodal AI in Healthcare

Seminar Series

Tuesday, January 27, 2026

12:00-1:00PM

Register for Zoom Meeting

Multimodal AI in Healthcare

Presented by: Vibhuti Gupta, PhD, Associate Professor, Department of Biostatistics & Data Science, School of Public & Population Health, UTMB

Abstract: Medicine is fundamentally a multimodal field. Clinicians routinely interpret data from multiple sources including medical images, clinical notes, lab tests, electronic health records, genomics, etc., to make informed decisions for disease diagnosis, prognosis, and understand treatment effects. With the advent of big data collection for precision medicine, a wealth of high-dimensional biomedical data from different modalities is available in routine clinical practice capturing underlying complex interactions among biological processes. Understanding these interactions is critical to capturing the complexity of human health and disease. Combining multiple modalities provides a wealth of complementary and harmonious information that can be exploited for comprehensive understanding of complex genotype-phenotype associations, better stratify patient populations, and provide individualized care. In this talk, we will explore briefly about AI in healthcare, opportunities in various healthcare applications leveraging multimodal data, fusion methods, challenges, and future opportunities. 

Contact Anirudh Babu (asbabu@utmb.edu) for additional information.