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Long H. Tu, MD, PhD

Assistant Professor



Long Tu is a health services researcher, emergency radiologist, and neuroradiologist at Yale. He is a graduate of Yale's Diagnostic Radiology residency and Neuroradiology fellowship, where he served as chief resident and chief fellow respectively. He subsequently completed clinical and research fellowships at Yale in Emergency/Trauma Radiology.

Long's research interests include diagnostic error, imaging utilization, and healthcare economics. His research primarily leverages techniques in data science, machine learning, and decision analysis to improve the diagnosis of patients with acute neurological disorders.

Long is known for his educational writing on workflow optimization and detection error. His first book, Search Pattern: A Systematic Approach to Diagnostic Imaging, is an internationally best-selling text in radiology. His second book, A Brief Guide to the Neuroradiology Fellowship, is one of the most widely used by neuroradiology fellows in the US.

Education & Training

  • PhD
    Yale Graduate School of Arts and Sciences (2023)
  • Research Fellow, Emergency Radiology
    Yale School of Medicine (2023)
  • Clinical Fellow, Emergency Radiology
    Yale School of Medicine (2022)
  • Chief Fellow, Neuroradiology
    Yale New Haven Hospital (2021)
  • Chief Resident, Radiology
    Yale New Haven Hospital (2020)
  • Resident, Radiology
    Yale New Haven Hospital (2019)
  • MD
    University of Connecticut (2015)

Departments & Organizations