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Jeffrey C Buchsbaum

Explore the profile of Jeffrey C Buchsbaum including associated specialties, affiliations and a list of published articles. Areas
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Articles 54
Citations 429
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Recent Articles
1.
Xiao Y, Benedict S, Cui Y, Glide-Hurst C, Graves S, Jia X, et al.
Int J Radiat Oncol Biol Phys . 2025 Jan; PMID: 39848295
This white paper examines the potential of pioneering technologies and artificial intelligence-driven solutions in advancing clinical trials involving radiation therapy. As the field of radiation therapy evolves, the integration of...
2.
Paganetti H, Simone 2nd C, Bosch W, Haas-Kogan D, Kirsch D, Li H, et al.
Int J Radiat Oncol Biol Phys . 2024 Jul; 121(1):202-217. PMID: 39059509
This position paper, led by the NRG Oncology Particle Therapy Work Group, focuses on the concept of relative biologic effect (RBE) in clinical proton therapy (PT), with the goal of...
3.
Chen W, Altshuler R, Daschner P, Salvador Morales C, St Germain D, Guida J, et al.
J Natl Cancer Inst . 2024 Jul; 116(11):1730-1738. PMID: 38995839
The older American population is rapidly increasing, and millions of older adults will be cancer survivors with comorbidities. This population faces specific challenges regarding treatment and has unique clinical needs....
4.
Buchsbaum J, Govern F, Prasanna P
Radiat Res . 2024 Apr; 201(4):271-274. PMID: 38588380
No abstract available.
5.
Buchsbaum J, Govern F, Prasanna P
Int J Radiat Biol . 2024 Mar; 100(5):817-819. PMID: 38530806
No abstract available.
6.
Rios C, DiCarlo A, Harrison L, Prasanna P, Buchsbaum J, Rudokas M, et al.
Radiat Res . 2024 Mar; 201(4):338-365. PMID: 38453643
The U.S. Government is committed to maintaining a robust research program that supports a portfolio of scientific experts who are investigating the biological effects of radiation exposure. On August 17...
7.
Rong Y, Chen Q, Fu Y, Yang X, Al-Hallaq H, Wu Q, et al.
Int J Radiat Oncol Biol Phys . 2023 Nov; 119(1):261-280. PMID: 37972715
Deep learning neural networks (DLNN) in Artificial intelligence (AI) have been extensively explored for automatic segmentation in radiotherapy (RT). In contrast to traditional model-based methods, data-driven AI-based models for auto-segmentation...
8.
Shen C, Kry S, Buchsbaum J, Milano M, Inskip P, Ulin K, et al.
Int J Radiat Oncol Biol Phys . 2023 Aug; 119(2):431-445. PMID: 37565958
Purpose: Few reports describe the risks of late ocular toxicities after radiation therapy (RT) for childhood cancers despite their effect on quality of life. The Pediatric Normal Tissue Effects in...
9.
Mayo C, Feng M, Brock K, Kudner R, Balter P, Buchsbaum J, et al.
Int J Radiat Oncol Biol Phys . 2023 May; 117(3):533-550. PMID: 37244628
Purpose: The ongoing lack of data standardization severely undermines the potential for automated learning from the vast amount of information routinely archived in electronic health records (EHRs), radiation oncology information...
10.
Zou W, Zhang R, Schuler E, Taylor P, Mascia A, Diffenderfer E, et al.
Int J Radiat Oncol Biol Phys . 2023 Apr; 116(5):1202-1217. PMID: 37121362
FLASH radiation therapy (FLASH-RT), delivered with ultrahigh dose rate (UHDR), may allow patients to be treated with less normal tissue toxicity for a given tumor dose compared with currently used...