Kent McCann, MD
Instructor of Emergency MedicineDownloadHi-Res Photo
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Titles
Instructor of Emergency Medicine
Appointments
Emergency Medicine
InstructorPrimary
Other Departments & Organizations
- Emergency Medicine
- Melnick Informatics Lab
- Real-world Evidence in Acute Care Lab
- Yale New Haven Health System
Education & Training
- Clinical Informatics Fellow
- Yale - VA (2027)
- Hospice and Palliative Medicine Fellow
- St. Luke's University Health Network (2022)
- Emergency Medicine Resident
- Baystate Medical Center (2021)
- MD
- UMass Chan Medical School (2018)
- BA
- Tufts University, Music (2012)
Board Certifications
Hospice and Palliative Medicine
- Certification Organization
- ABIM
- Original Certification Date
- 2022
Emergency Medicine
- Certification Organization
- ABEM
- Original Certification Date
- 2022
Research
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Research at a Glance
Yale Co-Authors
Frequent collaborators of Kent McCann's published research.
Donald Wright, MD, MHS
Alaa Alashi, MD, MHS
David Chartash, PhD, FAMIA
Eileen Alvarez
Andrew Taylor, MD, MHS
Ronald George Hauser III, MD
Publications
2026
Simulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks
Safranek C, Socrates V, Wright D, Huang T, Alashi A, McCann K, Taylor R, Chartash D. Simulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks. BMC Medical Informatics And Decision Making 2026, 26: 97. PMID: 41735989, DOI: 10.1186/s12911-026-03381-9.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsBayesian networkRank biased overlapCategory constraintsIterative natureInformation-seeking behaviorInformation-seeking strategiesLanguage modelRobust simulation environmentClinical decision-support toolsSimulation evaluationSimulation environmentProbabilistic frameworkFalse alarmsProbabilistic modelEmergency departmentImage dataResource utilizationDiagnostic reasoningOptimal policyDecision-support toolNetworkDiagnostic decisionsQuery pathwayPhysician practice patternsChest painUsing generative artificial intelligence to standardize unstructured antigen profiles for the alloantibody exchange
McCann K, Wright D, Alvarez E, Sullivan J, Cantrell K, Hauser R. Using generative artificial intelligence to standardize unstructured antigen profiles for the alloantibody exchange. Transfusion 2026, 66: 481-490. PMID: 41481809, DOI: 10.1111/trf.70061.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and Concepts
Academic Achievements & Community Involvement
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Activities
activity Prognosis after Emergency Intubation in a Large International Dataset to Inform Decision Making
05/18/2026 - 05/21/2026Oral PresentationSociety for Academic Emergency Medicine Annual MeetingDetailsAtlanta, GA, United Statesactivity Continuous-Value Tokenization Improves Medical Foundation Model Performance
04/28/2026 - 04/29/2026Poster PresentationFrom Innovation to Impact: AI at YaleDetailsNew Haven, CT, United Statesactivity Improving Risk Prediction and Treatment Effect Estimation Using Multimodal Medical Foundation Models
04/28/2026 - 04/29/2026LectureFrom Innovation to Impact: Ai at YaleDetailsNew Haven, CT, United StatesCollaboratorsactivity Prognosis after Emergency Intubation in a Large International Dataset to Inform Decision Making
04/15/2026 - 04/16/2026Oral PresentationSociety for Academic Emergency Medicine New England Regional Meeting (NERDS)DetailsWorcester, MA, United Statesactivity Continuous-Value Tokenization Improves Medical Foundation Model Performance
03/26/2026 - 03/27/2026Poster PresentationYale AI In Medicine SymposiumDetailsNew Haven, CT, United States
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