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Long Tu is a health services researcher and emergency neuroradiologist at Yale School of Medicine. He completed his residency in Diagnostic Radiology and a fellowship in Neuroradiology at Yale, where he served as chief resident and chief fellow. Long's clinical research focuses on diagnostic errors, healthcare economics, and imaging utilization, employing data science and machine learning techniques to enhance diagnosis for patients with acute neurological disorders. Notably, his recent research emphasizes the improvement of detection and management strategies for acute ischemic stroke. As the head of a research group, he develops clinical decision support tools aimed at optimizing reporting and workflow. Long has authored several influential texts in diagnostic imaging, including the internationally best-selling book "Search Pattern: Systematic Approach to Diagnostic Imaging." He actively teaches and mentors medical trainees, contributing educational materials for a broader audience in the medical field.
Yale School of Medicine • New Haven, CT, United States
Teaching medical students and residents, conducting research in emergency radiology and neuroradiology.
GRE is optional for PhD applicants. TOEFL speaking scores below 26 or IELTS speaking below 7.5 may require summer English training.