Results 211 to 220 of about 10,513,270 (364)
Implementing implementation science in global health
openaire +2 more sources
ABSTRACT Background In radiotherapy for early‐stage glottic cancer, evaluating the target surface dose at the glottic air–tissue boundary is crucial, as buildup effect can cause underdosing. The accuracy of dose evaluation in the surrounding tissues is affected by both the dose calculation algorithms and the accuracy of the Hounsfield unit values in ...
Yuki Saito+3 more
wiley +1 more source
Implementation science for brain disorders [PDF]
Kathleen Michels+3 more
openaire +3 more sources
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
Correction: Firm, yet flexible: a fidelity debate paper with two case examples
Bianca Albers+6 more
doaj +1 more source
Sickle cell care and implementation science. [PDF]
Bello-Manga H, King AA.
europepmc +1 more source
Reviews and findings on implementing active learning in a large class environment for Mechatronics and Computer Science students [PDF]
Tze Ying Sim, Birgit Vogel‐Heuser
openalex +1 more source
Abstract Purpose Results of a prospective, randomized controlled trial at our institute demonstrate an association between the dose to the left hippocampus and neurocognitive decline post‐radiotherapy for patients with glioblastoma. To minimize the dose to the left hippocampus, a left hippocampus sparing model was created using RapidPlan (RP) and multi‐
Shima Y. Tari+9 more
wiley +1 more source