Reza Forghani, MD, PhD

Dr. Reza Forghani is a neuro and head and neck radiologist and clinician scientist with medical AI expertise. He completed his MD and PhD degrees at McGill University, with a PhD in molecular and cell biology. After completing his Diagnostic Radiology Residency at McGill University in 2008, he completed a Diagnostic Neuroradiology Fellowship at the Massachusetts General Hospital, Harvard Medical School. He is currently Professor of Radiology & Artificial Intelligence (AI) and Vice Chair of AI at the Department of Radiology, University of Florida College of Medicine where he is also the director of the Radiomics & Augmented Intelligence Laboratory (RAIL) at the Norman Fixel Institute for Neurological Diseases. Dr. Forghani’s area of scientific interest is translational multi-modal AI, with the use of medical imaging for clinically impactful AI algorithm development. This includes specific interest in AI applications in head & neck imaging. Another core activity of the RAIL lab is to use clinical domain expertise to help translation and adoption of medical AI algorithms, working across different disciplines and with industry partners with the aim of developing clinically impactful AI tools that have the highest likelihood of adoption, so that they can be brought into clinical practice to impact every patient’s journey in the healthcare enterprise. Lastly, Dr. Forghani is also an expert in spectral imaging and the RAIL lab is involved both in research projects and academic-industry collaboration in peer to peer education for adoption of spectral CT.
Financial relationships
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Attribution:SelfType of financial relationship:Grant Or ContractIneligible company:Nuance Communications/Microsoft Inc.Topic:AI, Precision Imaging Network, Next Generation ReportingDate added:09/20/2023Date updated:09/19/2023Relationship end date:01/18/2026
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Attribution:SelfType of financial relationship:Grant Or ContractIneligible company:Canon Medical Systems Inc.Topic:Spectral CT; Adoption Training; AI reconstruction and workflowDate added:09/20/2023Date updated:09/19/2023Relationship end date:06/07/2024
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Attribution:SelfType of financial relationship:Grant Or ContractIneligible company:GE HealthcareTopic:AI AlgorithmsDate added:09/20/2023Date updated:09/19/2023Relationship end date:06/30/2022
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This Continuing Medical Education (CME) Learning Management System, Ethos, includes individuals designated as 'faculty' for CME purposes. Please note that the term 'faculty' refers solely to their role as a contributor/planner within a CME activity and does not imply any formal affiliation with UT Southwestern Medical Center (UTSW). The display of names and credentials is intended for educational purposes only and does not necessarily indicate a professional or academic relationship with UTSW. Participants are encouraged to verify the affiliations and credentials of faculty members independently if further clarification is needed.

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