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450 Brookline AveBoston, MA 02215
Phone+1 617-632-5734
Fax+1 617-394-2667
Dr. Kann is on Doximity
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Education & Training
Yale-New Haven Medical CenterResidency, Radiation Oncology, 2015 - 2019
Mass General Brigham/Newton-Wellesley HospitalInternship, Transitional Year, 2014 - 2015
Icahn School of Medicine at Mount SinaiClass of 2014
Certifications & Licensure
MA State Medical License 2019 - 2026
CT State Medical License 2017 - 2019
American Board of Preventive Medicine Clinical Informatics
American Board of Radiology Radiation Oncology
Publications & Presentations
PubMed
- Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs.Ariana M Familiar, Neda Khalili, Nastaran Khalili, Cassidy Schuman, Evan Grove
AJNR. American Journal of Neuroradiology. 2025-04-17 - International multispecialty expert physician preoperative identification of extranodal extension in patients with oropharyngeal cancer using computed tomography: Pros...Onur Sahin, Serageldin Kamel, Kareem A Wahid, Cem Dede, Nicolette Taku
Cancer. 2025-04-01 - Applications of Artificial Intelligence and Advanced Imaging in Pediatric Diffuse Midline Glioma.Atlas Haddadi Avval, Suneel Banerjee, John Zielke, Benjamin Kann, Sabine Mueller
Neuro-Oncology. 2025-03-03
Journal Articles
- Dose reduction to dysphagia/aspiration-related structures (DARS) in patients receiving induction chemotherapy (IC) followed by concurrent chemoradiation therapy (CCRT)...Kann BH, Carpenter TJ, Todorov B, Cotter R, Golchin A, Bakst R, Misiukiewicz K, Posner M, Gupta V, Journal of Radiation Oncology, 9/2014
Press Mentions
AI Predicts Pediatric Cancer Recurrence with Impressive AccuracyApril 25th, 2025- AI Tool Enhances Prediction of Relapse in Pediatric Brain CancerApril 24th, 2025
- Artificial Intelligence Tool Helps Predict Relapse of Pediatric Brain CancerApril 24th, 2025
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Grant Support
- Harvard MD Anderson Collaborative to Reduce LyMphatic MOrbidity in Head and Neck Cancer with Artificial Intelligence (HARMONiC-AI)UNIVERSITY OF TX MD ANDERSON CAN CTR2025–2030
- Development of an artificial intelligence-driven, imaging-based platform for pretreatment identification of extranodal extension in head and neck cancerBRIGHAM AND WOMEN'S HOSPITAL2021–2025
- Development of an artificial intelligence-driven, imaging-based platform for pretreatment identification of extranodal extension in head and neck cancerBRIGHAM AND WOMEN'S HOSPITAL2021–2025
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