About
Ali Morshid is a Clinical Assistant Professor in the Department of Radiology & Imaging Sciences at the University of Utah. He specializes in diagnostic radiology with a focus on liver and adrenal imaging, integrating machine learning techniques into oncologic and hepatobiliary diagnostics.
- Education: MBBCh from Ain Shams University, residency in Internal Medicine at Conemaugh Memorial Medical Center, residency in Diagnostic Radiology at University of Texas Medical Branch, Chief Resident at University of Texas Medical Branch, and fellowships in Neuroradiology (University of Utah) and MSK Radiology (University of Texas Medical Branch).
His research explores AI-driven image segmentation for tumor analysis, diagnostic pitfalls in cirrhosis, and multimodality imaging protocols for liver and kidney cancers. He has contributed to clinical guidelines like LI-RADS and authored peer-reviewed articles on hepatocellular carcinoma response prediction.
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