معرفی
Dr. Long H. Tu is an Assistant Professor of Radiology and Biomedical Imaging at Yale School of Medicine, specializing in neuroradiology and emergency radiology. He holds a PhD from Yale University and completed residency and fellowship training at Yale New Haven Hospital, serving as Chief Resident and Chief Fellow. His research focuses on diagnostic error reduction, imaging utilization, healthcare economics, and machine learning applications in acute neurological disorders, particularly stroke management.
Education & Training:
- MD: University of Connecticut (2015)
- Radiology Residency: Yale New Haven Hospital (2019)
- Neuroradiology Fellowship: Yale New Haven Hospital (2021)
- Emergency/Trauma Radiology Fellowships: Yale School of Medicine (2022–2023)
- PhD: Yale Graduate School of Arts and Sciences (2023)
Research Interests: Dr. Tu’s work leverages data science and machine learning to improve diagnostic accuracy and streamline clinical workflows. His lab, the Tu Lab, develops clinical decision-support tools and workflow optimization strategies. Recent studies address stroke detection via imaging modalities like DWI and MRI, as well as cost-effectiveness analyses of imaging protocols in emergency settings.
Publications Trends: His articles emphasize optimizing imaging techniques for acute neurological conditions, evaluating diagnostic algorithms, and addressing logistical challenges in emergency radiology. Key themes include stroke detection accuracy, CT/MRI comparisons, and the role of AI in fracture detection.
Labs/Teams: He leads the Tu Lab, dedicated to diagnostic research and workflow innovation. Collaborations include studies with Howard Forman, Arjun Venkatesh, and Reza Yaesoubi.
