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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
- Applications of artificial intelligence and advanced imaging in pediatric diffuse midline glioma.Atlas Haddadi Avval, Suneel Banerjee, John Zielke, Benjamin H Kann, Sabine Mueller
Neuro-Oncology. 2025-07-30 - Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study.Juan Carlos Climent Pardo, Anna Zapaishchykova, Aidan Boyd, Divyanshu Tak, John Zielke
Neuro-Oncology Advances. 2025-07-01 - Imaging biomarkers of ageing: a review of artificial intelligence-based approaches for age estimation.Fridolin Haugg, Grace Lee, John He, Justin Johnson, Anna Zapaishchykova
The Lancet. Healthy Longevity. 2025-07-01
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
Gaining on GliomaAugust 4th, 2025- AI Predicts Pediatric Cancer Recurrence with Impressive AccuracyApril 25th, 2025
- AI Tool Enhances Prediction of Relapse in 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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