Results 201 to 210 of about 6,470,900 (400)

An overview of artificial intelligence in medical physics and radiation oncology. [PDF]

open access: yesJ Natl Cancer Cent, 2023
Liu J   +7 more
europepmc   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan   +6 more
wiley   +1 more source

Dosimetric effect of silicone‐based gel on skin surface during volumetric modulated arc therapy for breast cancer

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to quantify and compare the dosimetric effects of varying thicknesses of StrataXRT, a silicone‐based gel, and other topical agents on the skin surface during volumetric modulated arc therapy (VMAT) for breast cancer.
Tenyoh Suzuki   +13 more
wiley   +1 more source

Artificial intelligence in the medical physics community: An international survey.

open access: yesPhysica medica (Testo stampato), 2021
O. Díaz   +4 more
semanticscholar   +1 more source

The International Organization for Medical Physics - a driving force for the global development of medical physics. [PDF]

open access: yesHealth Technol (Berl), 2022
Rehani MM   +10 more
europepmc   +1 more source

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy