Results 161 to 170 of about 14,893,663 (319)
“Improving” Risk Communication and Risk Management: Legislated Solutions or Legislated Disasters? [PDF]
Branden B. Johnson, Paul Slovic
openalex +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Abstract Skin flash is typically added to breast and chestwall plans to ensure robust target coverage in the presence of respiratory motion, anatomic changes, and small setup uncertainties. Adding skin flash in volumetric modulated arc therapy (VMAT) plans is an iterative and manual process.
Emily Hubley+6 more
wiley +1 more source
Using price data to consider risk in the evaluation of forest management investments. [PDF]
David C. Baumgartner, Carol A. Hyldahl
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Abstract Background To assess the dose‐sparing capabilities of a yaw‐limited volumetric modulated arc therapy (YL_VMAT) beam setup for adjacent organs at risk (OAR) in comparison with 3D‐conventional radiation therapy (3D‐CRT), intensity‐modulated radiation therapy (IMRT) and conventional VMAT for radiation therapy in left‐sided breast cancer patients.
Gerhard Pollul+4 more
wiley +1 more source
JACMP – Founding and 2000–2004
Journal of Applied Clinical Medical Physics, EarlyView.
Michael Mills
wiley +1 more source
Evaluation of the effect of metal stents on dose perturbation in the carbon beam irradiation field
Abstract Propose Carbon ion therapy is indicated for cases in which stents have been inserted, such as bile ducts, but the effect of metal stents on carbon ion therapy is unclear. In this study, the dose perturbation of carbon ion therapy caused by metallic bile duct stents was evaluated by dosimetry. Materials and methods Five different types of metal
Yuya Miyasaka+8 more
wiley +1 more source
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal+9 more
wiley +1 more source