Results 291 to 300 of about 6,198,727 (341)

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang   +5 more
wiley   +1 more source

The effect of kV imaging dose on PTV and OAR planning constraints in lung SBRT using stereoscopic/monoscopic real‐time tumor‐monitoring system

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Quantify the impact of additional imaging doses on clinical dose constraints during lung stereotactic body radiotherapy (SBRT) treatment utilizing stereoscopic/monoscopic real‐time tumor monitoring. Materials and Methods Thirty lung SBRT patients treated with the volumetric arc therapy technique were randomly selected from the ...
Ruwan Abeywardhana, Mike Sattarivand
wiley   +1 more source

From 2D to 3D gamma passing rate tolerance and action limits for patient‐specific quality assurance in volumetric‐modulated arc therapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros   +6 more
wiley   +1 more source

Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm. [PDF]

open access: yesSci Rep
Bojić L   +6 more
europepmc   +1 more source

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