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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
- 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 - Association of Sarcopenia With Toxicity and Survival in Patients With Lung Cancer, a Multi-Institutional Study With External Dataset Validation.Anurag Saraf, John He, Kee-Young Shin, Jakob Weiss, Mark M Awad
Clinical Lung Cancer. 2025-01-28
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
Yale Cancer Center Research Highlighted at ASTRO 2019September 17th, 2019
AI Algorithm May Improve Oropharynx Cancer Treatment GuidanceJanuary 20th, 1970- Artificial Intelligence Detects Sarcopenia in Head and Neck Cancer Patients, USAugust 14th, 2023
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Grant Support
- 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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