Long H. Tu, MD, PhD

Long Tu is a health services researcher, emergency radiologist, and neuroradiologist at Yale School of Medicine. 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 leverages techniques in data science, machine learning, and decision analysis to improve the diagnosis of patients with acute neurological disorders. His most recent work has focused on improving the detection and management of acute ischemic stroke. Long also directs a research group that develops clinical decision support, reporting, and workflow optimization tools.

Long is the author of three leading texts in diagnostic imaging. His first book, Search Pattern: A Systematic Approach to Diagnostic Imaging, is an internationally best-seller 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. Long's latest book, How to be a More Efficient Radiologist: A Guide to Practice, Reporting, and Workflow Optimization, examines skills critical to modern clinical practice.