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Abhi Jain
Clinical Assistant Professor, Radiology
Member, Wu Tsai Neurosciences Institute
Fellowship: USC Neuroradiology Fellowship (2025) CA
Fellowship, University of Pennsylvania Imaging Informatics Fellowship, PA (2024)
Residency: Einstein Medical Center Philadelphia Radiology Residency (2024) PA
Internship: University of Washington Dept of Surgery (2020) WA
Medical Education: Philadelphia College of Osteopathic Medicine (2019) PA
DPT, Arizona School of Health Sciences, Physical Therapy (2015)
MEd, Cleveland State University, Exercise Science (2011)
Dr. Jain is a neuroradiologist and a Certified Imaging Informatics Professional (CIIP) whose academic work bridges day-to-day neuroradiology practice with imaging informatics and clinically grounded artificial intelligence (AI).
His clinical research interests include quantitative imaging and radiomics in cerebrovascular disease, with particular emphasis on intracerebral hemorrhage (ICH), and imaging biomarkers in the aging brain and neurodegeneration, including limbic-predominant age-related TDP-43 encephalopathy (LATE).
His AI/informatics and quality-improvement interests include large language models (LLMs) for radiology reporting support and clinical decision support, with an emphasis on real-world evaluation and workflow integration.
His education interests focus on modern, technology-enabled neuroradiology teaching, including tailored language models and extended reality (XR; augmented/virtual/mixed reality) approaches to strengthen trainee learning.
His clinical research interests include quantitative imaging and radiomics in cerebrovascular disease, with particular emphasis on intracerebral hemorrhage (ICH), and imaging biomarkers in the aging brain and neurodegeneration, including limbic-predominant age-related TDP-43 encephalopathy (LATE).
His AI/informatics and quality-improvement interests include large language models (LLMs) for radiology reporting support and clinical decision support, with an emphasis on real-world evaluation and workflow integration.
His education interests focus on modern, technology-enabled neuroradiology teaching, including tailored language models and extended reality (XR; augmented/virtual/mixed reality) approaches to strengthen trainee learning.