Rahman Akinlusi, MD

Dr. Akinlusi earned his medical degree in 2020 from the American University of the Caribbean School of Medicine, completed his nuclear medicine residency in 2024 while serving as chief resident, followed by an imaging informatics fellowship in 2025 at the Icahn School of Medicine at Mount Sinai Hospital.

Dr. Akinlusi's research interests center on advancing nuclear medicine through theranostics, quantitative image analysis, and the integration of artificial intelligence for improved diagnostic and therapeutic outcomes. He is focused on applying machine learning, deep learning, and computer-aided detection systems to enhance tumor response assessment, lesion characterization, and radiation dose optimization. 

His work also explores imaging informatics, including secure data exchange, cloud-based clinical trial solutions, and federated learning to promote precision medicine and equitable access to advanced imaging technologies.

A former high school science teacher, Dr. Akinlusi is dedicated to mentorship, simulation-based learning, and curriculum development that encourages diversity and patient education in nuclear medicine.