Sameer Antani, Ph.D.

Dr. Antani's current research focuses on characterizing data and their impact on AI prediction quality and performance, making predictions interpretable and generalizable, and ultimately enabling improved disease screening, diagnostics, and treatment guidance. These interests in the computational life sciences, and clinical and public health translation of the AI models have been explored through computational health research in cardiopulmonary, infectious, cancer, genetic, and age-related diseases/conditions through multidisciplinary collaboration across the NIH and beyond.

Dr. Antani is a Tenure-Track Investigator and a senior researcher contributing to advancing AI using both visual and text information for automated, reliable, and interpretable clinical decision-making. He holds various leadership positions in scientific and technical professional societies (IEEE, SPIE), as well as advisory positions with academic institutions. He is a Fellow of the American Institute of Medical and Biological Engineers (AIMBE) and a Fellow of the IEEE and Senior Member with the SPIE, respectively. Bibliography is available here and on Google Scholar.