Amit Gupta, MD
-
Specialty: Radiology-Cardiothoracic Imaging, Radiology-Diagnostic Radiology, Radiology-Nuclear Medicine
View Expertise - Languages Spoken: English, Hindi
Biography: Amit Gupta, MD
Expertise
Titles
- Division Chief, Cardiothoracic Imaging, UH Cleveland Medical Center
- Director, Modality, Diagnostic Radiology, UH Cleveland Medical Center
- Associate Professor of Radiology, CWRU School of Medicine
- Assistant Professor of Medicine, CWRU School of Medicine
Certifications & Memberships
- Diagnostic Radiology - American Board of Radiology
Education
Fellowship | Cardiothoracic Imaging
Cardiothoracic Imaging - Uh Cleveland Medical Center (2016 - 2017)
Fellowship | Nuclear Radiology
Nuclear Radiology - Uh Case Medical Center (2015 - 2016)
Fellowship | Neuroradiology
Neuroradiology - Uh Case Medical Center (2014 - 2015)
Residency | Diagnostic Radiology
Diagnostic Radiology - Ravindra Nath Tagore Medical College (2009 - 2012)
Medical Education
Government Medical College, Patiala (2006)
About
Amit Gupta, MD, is a cardiothoracic radiologist and Modality Director of Diagnostic Radiography at University Hospitals Cleveland Medical Center. He also serves as Division Chief for Cardiothoracic Imaging at UH and Associate Professor of Radiology at Case Western Reserve University School of Medicine. He also has joint appointments in the Departments of Internal medicine and Biomedical Engineering at Case Western Reserve University.
Dr. Gupta is a passionate educator and the recipient of multiple teaching awards. A large concentration of his work involves the understanding and utilization of new imaging techniques, modalities and software for image interpretation. These include spectral detector computed tomography (CT), 3-dimensional printing, radiomics, positron emission tomography (PET) and magnetic resonance imaging (MRI).
Dr. Gupta has authored numerous peer-reviewed publications and book chapters and has presented his research at national and international meetings. He has been involved in building and validating novel artificial intelligence (AI) based methodologies, to better lung cancer diagnosis, prognosis and treatment response prediction, management of critical findings in ICU settings, and improving cardiovascular care. His present work focuses on methods to improve adoption and streamlining the integration of AI algorithms into routine clinical practice at University Hospitals.
Research & Publications
Research Links
PubMed
View Research
Research Interests
Interstitial lung disease, lung cancer and artificial intelligence