Long H. Tu, MD, PhD
Assistant Professor of Radiology and Biomedical ImagingDownloadHi-Res Photo
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Radiology & Biomedical Imaging
20 York Street, South Pavilion, 2nd Floor
New Haven, CT 06520
United States
About
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Titles
Assistant Professor of Radiology and Biomedical Imaging
Biography
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.
Last Updated on March 08, 2024.
Appointments
Radiology & Biomedical Imaging
Assistant ProfessorPrimary
Other Departments & Organizations
- All Institutions
- Clinical Radiology
- Neuroradiology
- Radiology & Biomedical Imaging
- Tu Lab
- Yale Medicine
- Yale New Haven Health System
Education & Training
- PhD
- Yale Graduate School of Arts and Sciences (2023)
- Research Fellow, Emergency Radiology
- Yale School of Medicine (2023)
- Clinical Fellow, Emergency Radiology
- Yale School of Medicine (2022)
- Chief Fellow, Neuroradiology
- Yale New Haven Hospital (2021)
- Fellowship
- Yale New Haven Hospital (2021)
- Chief Resident, Radiology
- Yale New Haven Hospital (2020)
- Resident, Radiology
- Yale New Haven Hospital (2019)
- Internship
- Kaweah Delta Health District (2016)
- MD
- University of Connecticut (2015)
- MD
- University of Connecticut School of Medicine (2009)
Research
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Overview
Medical Research Interests
Costs and Cost Analysis; Data Science; Diagnostic Errors; Education, Medical; Education, Medical, Graduate; Efficiency; Health Care Economics and Organizations; Ischemic Stroke; Machine Learning; Quality Improvement; Stroke
Public Health Interests
Health Care Quality, Efficiency; Health Informatics; Implementation Science
ORCID
0000-0002-2419-5581- View Lab Website
Tu Lab | Diagnostic Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Long H. Tu's published research.
Publications Timeline
A big-picture view of Long H. Tu's research output by year.
Research Interests
Research topics Long H. Tu is interested in exploring.
Ajay Malhotra, MBBS, MD, MMM, FACR
Howard Forman, MD, MBA, FACR
Arjun Venkatesh, MD, MBA, MHS
Amit Mahajan, MD, MBBS
Ted Melnick, MD, MHS
Dhasakumar Navaratnam, MD, PhD
53Publications
355Citations
Stroke
Quality Improvement
Diagnostic Errors
Publications
2025
Practical Notes on Leveraging the Detection of Previously Unknown Strokes to Impact Patient Outcomes
Kenny-Howell C, Dixe de Oliveira Santo I, Wira C, de Havenon A, Tu L. Practical Notes on Leveraging the Detection of Previously Unknown Strokes to Impact Patient Outcomes. Journal Of The American College Of Radiology 2025 PMID: 40499627, DOI: 10.1016/j.jacr.2025.06.011.Peer-Reviewed Original ResearchDiagnostic yield of an abbreviated MRI protocol in the evaluation of dizziness in the emergency department, a single institutional experience
Shareef F, Tu L, Neupane A, Siddique Z, Joshi R, Melnick E, Wira C, Mahajan A. Diagnostic yield of an abbreviated MRI protocol in the evaluation of dizziness in the emergency department, a single institutional experience. Emergency Radiology 2025, 1-10. PMID: 40471503, DOI: 10.1007/s10140-025-02349-y.Peer-Reviewed Original ResearchConceptsAbbreviated MRI protocolDiagnostic yieldIntracranial pathologyEmergency departmentAcute findingsMRI protocolEvaluation of dizzinessMethodThis retrospective studyDetecting intracranial pathologySignificant intracranial pathologyAxial DWIAxial FLAIRProtocol MRIAbbreviated protocolSupratentorial pathologySWI sequencesMRI findingsRetrospective studyUrgent care settingsAdult patientsCentral etiologyAcute dizzinessInfratentorial siteInstitutional experienceInfarct characteristicsUtilization, detection rate, and pathologies on lumbosacral plexus MRI: a 25-year institutional experience
Rahmani S, Hamilton C, Nguyen J, Zaree O, Kenny-Howell C, Kirsch C, Tu L. Utilization, detection rate, and pathologies on lumbosacral plexus MRI: a 25-year institutional experience. Clinical Imaging 2025, 125: 110529. PMID: 40494183, DOI: 10.1016/j.clinimag.2025.110529.Peer-Reviewed Original ResearchConceptsPlexus MRIAbnormal findingsImaging findingsClinical indicationsPlexus magnetic resonance imagingPredictors of abnormal findingsMRI examsAssociated with abnormal findingsAbnormal radiological featuresConfounding clinical featuresTertiary referral centerAbnormal imaging findingsAbnormal MRI findingsEvaluated clinical indicatorsNerve sheath tumorsClinically relevant pathologyMultivariate logistic regressionPercentage of casesMagnetic resonance imagingInfectious/inflammatory etiologyLumbar radiculopathySheath tumorsLumbosacral plexopathyPatient ageReferral centerThe Value of Radiology Consultation: Effort Allocation, Clinical Impact, and Untapped Opportunities
Iftikhar S, Rahmani S, Zaree O, Kertam A, Farquhar T, Tu L. The Value of Radiology Consultation: Effort Allocation, Clinical Impact, and Untapped Opportunities. Journal Of The American College Of Radiology 2025 PMID: 40204166, DOI: 10.1016/j.jacr.2025.04.006.Peer-Reviewed Original ResearchAltmetricConceptsConsulting workWorking hoursArtificial intelligence-based technologiesValue-based reimbursement modelsCurrent Procedural Terminology billing codesEffort allocationUntapped opportunitiesProcedural terminology billing codesCost of timeImpact patient careFormal mechanismsAd hocFuture of radiologyNoninterpretive tasksNon-face-to-facePatient careGroup practiceReimbursement modelsConsultation codesBilling codesInterpretation of imagesIndividual radiologistsMultidisciplinary conferenceCodeEquitable reimbursementCorrection to: Detectability of acute ischemic stroke with thin (3 mm) axial versus thin (3 mm) coronal diffusion-weighted imaging in patients presenting to the emergency department with acute dizziness
Lozano R, Shareef F, Neupane A, Siddique Z, Joshi R, Pasquini L, Tu L, Mahajan A. Correction to: Detectability of acute ischemic stroke with thin (3 mm) axial versus thin (3 mm) coronal diffusion-weighted imaging in patients presenting to the emergency department with acute dizziness. Emergency Radiology 2025, 32: 485-485. PMID: 40106121, DOI: 10.1007/s10140-025-02333-6.Peer-Reviewed Original ResearchDetectability of acute ischemic stroke with thin (3 mm) axial versus thin (3 mm) coronal diffusion-weighted imaging in patients presenting to the emergency department with acute dizziness
Lozano R, Shareef F, Neupane A, Siddique Z, Joshi R, Pasquini L, Tu L, Mahajan A. Detectability of acute ischemic stroke with thin (3 mm) axial versus thin (3 mm) coronal diffusion-weighted imaging in patients presenting to the emergency department with acute dizziness. Emergency Radiology 2025, 32: 225-231. PMID: 40053160, DOI: 10.1007/s10140-025-02327-4.Peer-Reviewed Original ResearchCitationsConceptsAxial DWIIschemic lesionsMRI examinationsDetection of brain ischemiaEmergency departmentIschemic strokeMiddle cerebellar peduncleRetrospective cohort studyDiffusion-weighted imagingAcute ischemic strokeDetection of acute ischemic strokeDetection of ischemiaMethodsRetrospective studyPosterior circulationAxial MRIDWI sequencesAcute dizzinessCerebellar pedunclePurposeIschemic strokeCoronal sequencesCohort studyDiagnostic utilityMRI protocolMcNemar testBrain ischemiaRadiologist, Trainee, and Logistical Factors Impacting the Timeliness of CTA Head and Neck Reporting in Stroke Code Activations.
Zaree O, Nguyen J, Dixe de Oliveira Santo I, Kertam A, Rahmani S, Johnson J, Tu L. Radiologist, Trainee, and Logistical Factors Impacting the Timeliness of CTA Head and Neck Reporting in Stroke Code Activations. American Journal Of Neuroradiology 2025, ajnr.a8660. PMID: 39832953, DOI: 10.3174/ajnr.a8660.Peer-Reviewed Original ResearchAltmetricConceptsStroke code activationAttending radiologistsTimeliness of reportingEmergency department settingRadiologist characteristicsCare settingsMultivariate regression modelImprove workflow efficiencyDepartment settingStroke codeModifiable factorsDescriptive statisticsSecondary analysisCoding activitiesReport factorsPatient ageObservational studyWorkflow efficiencyShift typeMedian TATMultivariate regressionInterquartile rangeRegression modelsCTA reportsLogistical factors
2024
Diagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis
Sharifi G, Hajibeygi R, Zamani S, Easa A, Bahrami A, Eshraghi R, Moafi M, Ebrahimi M, Fathi M, Mirjafari A, Chan J, Dixe de Oliveira Santo I, Anar M, Rezaei O, Tu L. Diagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis. Emergency Radiology 2024, 32: 97-111. PMID: 39680295, DOI: 10.1007/s10140-024-02300-7.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsConvolutional neural networkArea under the receiver operating characteristic curveConvolutional neural network modelCT scanSkull fractureComputed tomographyDeep learningProspective clinical trialMeta-analysisReceiver operating characteristic curvePublication biasSkull fracture detectionSystematic reviewNeural network algorithmDetecting skull fracturesImprove diagnosis accuracyDiagnostic hurdlesShortage of radiologistsAutomated diagnostic toolTransfer learningDiagnostic performanceDiagnostic accuracyClinical trialsModel architectureNeural networkCongenital perineal hernia: a systematic review of case reports.
Khan MWZ, Ahmad M, Iftikhar S, Mohmand AK, Esmat M, Qudrat S, Ikram J, Khan S, Tu L. Congenital perineal hernia: a systematic review of case reports. Hernia 2024, 29: 35. PMID: 39611977, DOI: 10.1007/s10029-024-03204-8.Peer-Reviewed Original ResearchIncidental Detection of Previously Unknown Strokes on Head CT Examinations: An Untapped Opportunity for Secondary Prevention
Kenny-Howell C, Dixe de Oliveira Santo I, Wira C, de Havenon A, Tu L. Incidental Detection of Previously Unknown Strokes on Head CT Examinations: An Untapped Opportunity for Secondary Prevention. Journal Of The American College Of Radiology 2024, 22: 461-470. PMID: 39571646, DOI: 10.1016/j.jacr.2024.11.010.Peer-Reviewed Original ResearchCitationsAltmetricConceptsHead CT imagesEmergency departmentOld strokeSecondary preventionHead CTCT imagesRetrospective study of adult patientsImplement secondary preventionStudy of adult patientsAssociated with greater ageHead CT examinationsED careRisk of recurrent strokeED encountersUnivariate regressionCerebellar locationCT examinationsRetrospective studyAdult patientsIncidental detectionUnivariate analysisIncidental discoveryGreater ageMultivariate regressionPatients
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Overview
Dr. Long H. Tu, MD, PhD, is a specialist in neuroradiology and emergency radiology. He has specific expertise in advanced imaging techniques and their application to acute neurologic conditions, such as ischemic stroke. Dr. Tu is dedicated to enhancing patient care in emergency settings by improving the speed, accuracy, and quality of medical imaging.
In his academic role, he serves as an assistant professor in the Department of Radiology and Biomedical Imaging at Yale School of Medicine. Dr. Tu teaches medical trainees and students, directs a research group, and writes both educational and scientific works for a broader medical audience.
Clinical Specialties
Emergency Radiology; Neuroradiology
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Radiology & Biomedical Imaging
20 York Street, South Pavilion, 2nd Floor
New Haven, CT 06520
United States