Results 1 to 10 of about 2,527,122 (382)

Why "Radiation Oncology" [PDF]

Radiation Oncology, 2006
Radiotherapy continues to be a major treatment for solid tumours and is a cornerstone of modern oncology. The term 'radiation oncology' describes the integration of radiation therapy into the complexity of multi-modal therapy. Over the last ten years the
Camphausen Kevin A, Belka Claus
doaj   +4 more sources

Machine learning applications in radiation oncology

Physics and Imaging in Radiation Oncology, 2021
Machine learning technology has a growing impact on radiation oncology with an increasing presence in research and industry. The prevalence of diverse data including 3D imaging and the 3D radiation dose delivery presents potential for future automation ...
Matthew Field, Nicholas Hardcastle, Michael Jameson, Noel Aherne, Lois Holloway   +4 more
doaj   +2 more sources

Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology. [PDF]

PLoS ONE, 2018
Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great potential to generate hypotheses for cancer treatment, since they directly provide medical data on a large scale.
Jean-Emmanuel Bibault, Eric Zapletal, Bastien Rance, Philippe Giraud, Anita Burgun   +4 more
doaj   +5 more sources

An Emerging Role for Radiation Oncology in Precision Oncology [PDF]

EBioMedicine, 2016
Precision medicine is rapidly evolving in the management of cancer, in an effort to deliver the right therapy to the right patient at the right time. The use of novel molecular or genetic signatures in decision making regarding local–regional management is in its infancy. In their recent work published in EBioMedicine, Cheng and colleagues developed
Sharad Goyal, Bruce G. Haffty
doaj   +4 more sources

Evaluating large language models on a highly-specialized topic, radiation oncology physics [PDF]

Frontiers in Oncology, 2023
Purpose We present the first study to investigate Large Language Models (LLMs) in answering radiation oncology physics questions. Because popular exams like AP Physics, LSAT, and GRE have large test-taker populations and ample test preparation resources ...
J. Holmes, Zheng Liu, Lian-Cheng Zhang, Yuzhen Ding, T. Sio, L. Mcgee, J. Ashman, Xiang Li, Tianming Liu, Jiajian Shen, W. Liu   +10 more
semanticscholar   +1 more source

RadOnc-GPT: A Large Language Model for Radiation Oncology [PDF]

arXiv.org, 2023
This paper presents RadOnc-GPT, a large language model specialized for radiation oncology through advanced tuning methods. RadOnc-GPT was finetuned on a large dataset of radiation oncology patient records and clinical notes from the Mayo Clinic in ...
Zheng Liu, Peilong Wang, Yiwei Li, J. Holmes, Peng Shu, Lian-Cheng Zhang, Chenbin Liu, Ninghao Liu, Dajiang Zhu, Xiang Li, Quanzheng Li, Samir H. Patel, Terence T. Sio, Tianming Liu, W. Liu   +14 more
semanticscholar   +1 more source

Why an Increasing Number of Unmatched Residency Positions in Radiation Oncology? A Survey of Fourth-Year Medical Students

Advances in Radiation Oncology, 2021
Purpose: The number of US fourth-year medical students applying to radiation oncology has decreased during the past few years. We conducted a survey of fourth-year medical students to examine factors that may be influencing the decision to pursue ...
Grace C. Blitzer, MD, Akash D. Parekh, MD, Shuai Chen, PhD, Kekoa Taparra, MD, PhD, Jenna M. Kahn, MD, Emma C. Fields, MD, John M. Stahl, MD, Stephen A. Rosenberg, MD, John M. Buatti, MD, Anna M. Laucis, MD, Yichu Wang, David L. Mayhew, MD, PhD, Andrew M. McDonald, MD, Paul M. Harari, MD, Jeffrey V. Brower, MD, PhD   +14 more
doaj   +1 more source

Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for ai-assisted medical education and decision making in radiation oncology

Frontiers in Oncology, 2023
Purpose The potential of large language models in medicine for education and decision-making purposes has been demonstrated as they have achieved decent scores on medical exams such as the United States Medical Licensing Exam (USMLE) and the MedQA exam ...
Yixing Huang, A. Gomaa, S. Semrau, M. Haderlein, S. Lettmaier, T. Weissmann, J. Grigo, Hassen Ben Tkhayat, Benjamin Frey, U. Gaipl, L. Distel, Andreas Maier, R. Fietkau, Christoph Bert, F. Putz   +14 more
semanticscholar   +1 more source

MRI-LINAC: A transformative technology in radiation oncology

Frontiers in Oncology, 2023
Advances in radiotherapy technologies have enabled more precise target guidance, improved treatment verification, and greater control and versatility in radiation delivery.
J. Ng, Fabiana Gregucci, R. Pennell, H. Nagar, E. Golden, J. Knisely, N. Sanfilippo, S. Formenti   +7 more
semanticscholar   +1 more source

Educating the Colleagues: Radiation Basics for Obstetrics and Gynecology Residents

Advances in Radiation Oncology, 2022
Exposure to radiation oncology (RO) is limited among medical students, excluding those who wish to pursue a radiation oncology career. Consequently, RO knowledge in gynecological malignancies may differ among obstetricians and gynecologists (OB&G ...
Toms Vengaloor Thomas, MD, Kati K. Reddy, MS, Ashley Albert, MD, Mildred Ridgway, MD, William Robinson, MD, Srinivasan Vijayakumar, MD   +5 more
doaj   +1 more source