Research & Publications
Long is a research fellow, 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 was subsequently Yale's first Emergency/Trauma Radiology clinical fellow.
Long is also a fourth year PhD candidate at the Yale’s Investigative Medicine Program. His research interests include diagnostic error, imaging utilization, and healthcare economics. His research program 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, primarily focused 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
- Clinical Fellow, Emergency RadiologyYale School of Medicine (2022)
- Chief Fellow, NeuroradiologyYale School of Medicine (2021)
- Chief Resident, RadiologyYale School of Medicine (2020)
- Resident, RadiologyYale School of Medicine (2019)
- MDUniversity of Connecticut (2015)
Honors & Recognition
|Roentgen Resident/Fellow Research Award||Radiological Society of North America||2021|
|Roentgen Resident/Fellow Research Award||Radiological Society of North America||2020|
|Best in Subspecialty Oral Presentation||American Roentgen Ray Society||2019|
|Emergency Radiology (Journal)||Reviewer||2021 - Present|