Kambiz Nael MD
Neuroradiology
Professor of Radiology and Biomedical Imaging University of California San Francisco (UCSF)
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505 Parnassus Ave, Box 0628757 Westwood Plaza, Suite 1621San Francisco, CA 94143
Phone+1 415-514-7513
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Summary
- Dr. Kambiz Nael is a Professor of Radiology and Biomedical Imaging at University of California San Francisco. Dr. Nael is affiliated with multiple hospitals in the Bay area, including UCSF Helen Diller Medical Center at Parnassus Heights, UCSF Benioff Children’s Hospitals, and UCSF Medical Center at Mount Zion. As a board certified Neuroradiologist, he is experienced in stroke, traumatic brain injury, and advanced imaging of brain tumors and cerebrovascular disorders.
Education & Training
UCLA David Geffen School of Medicine/UCLA Medical CenterFellowship, Neuroradiology, 2011 - 2012- UCLA David Geffen School of Medicine/UCLA Medical CenterResidency, Radiology-Diagnostic, 2007 - 2011
Huntington Memorial HospitalInternship, Transitional Year, 2006 - 2007
Shiraz University of Medical SciencesClass of 2000
Certifications & Licensure
AZ State Medical License 2012 - Present
CA State Medical License 2009 - 2027
NY State Medical License 2015 - 2021
IL State Medical License 2015 - 2017
American Board of Radiology Diagnostic Radiology- American Board of Radiology Neuroradiology
Awards, Honors, & Recognition
- Young Faculty Research Award New York Roentgen Society (NYRS), 2017
Publications & Presentations
PubMed
- 1 citationsData-Driven Prognostication in Distal Medium Vessel Occlusions Using Explainable Machine Learning.Mert Karabacak, Burak Berksu Ozkara, Tobias D Faizy, Trevor Hardigan, Jeremy J Heit
AJNR. American Journal of Neuroradiology. 2025-04-02 - Prolonged Venous Transit Independently Predicts Worse Functional Outcomes at Discharge in Successfully Reperfused Patients with Large Vessel Occlusion Stroke.Janet Mei, Hamza A Salim, Dhairya A Lakhani, Aneri Balar, Adam A Dmytriw
Clinical Neuroradiology. 2025-04-01 - The Los Angeles Motor Scale is independently associated with cerebral blood flow < 30% volume in large vessel occlusions.Richard Wang, Dhairya A Lakhani, Aneri B Balar, Sadra Sepehri, Licia P Luna
The Neuroradiology Journal. 2025-04-01
Press Mentions
Brainomix Advances Stroke Care with Landmark FDA ClearanceApril 8th, 2025- Measuring ‘Brain Age’ Biomarkers May Better Predict Stroke Care and RecoveryMay 5th, 2022
- Automated Detection of Critical Findings in Multi-Parametric Brain MRI Using a System of 3D Neural NetworksMarch 25th, 2021
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