Research & Publications
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
- PhDYale Graduate School of Arts and Sciences (2023)
- Research Fellow, Emergency RadiologyYale School of Medicine (2023)
- Clinical Fellow, Emergency RadiologyYale School of Medicine (2022)
- Chief Fellow, NeuroradiologyYale New Haven Hospital (2021)
- Chief Resident, RadiologyYale New Haven Hospital (2020)
- Resident, RadiologyYale New Haven Hospital (2019)
- MDUniversity of Connecticut (2015)