Results 151 to 160 of about 646,755 (265)
Blood Biomarkers Predict 10-Year Clinical Outcomes in Adult Patients With Congenital Heart Disease
Background: The adult congenital heart disease (ACHD) population is growing and risk prediction is important to predict adverse outcome and consult patients during their lifecourse.
Paul M. Hendriks, MSc, MD+8 more
doaj
Prevalence, histological types, and significance of palmar and plantar nevi [PDF]
Emma Scott+2 more
openalex +1 more source
On the Prevalence of Hemoglobin D in the American Negro [PDF]
Amoz I. Chernoff, PAULINE C. FARR
openalex +1 more source
Abstract Purpose To compare plan quality among photon volumetric modulated arc therapy (VMAT) and intensity‐modulated proton therapy (IMPT) with robustness using three different proton beam delivery systems with various spot size (σ) ranges: cyclotron‐generated proton beams (CPBs) (σ: 2.7–7.0 mm), linear accelerator proton beams (LPBs) (σ: 2.9–5.5 mm),
Tara Gray+9 more
wiley +1 more source
Notes on the Prevalence of Hydatid Disease in Alaskan Moose
Robert Rausch
openalex +2 more sources
The effect of multi‐leaf collimator leaf width on VMAT treatment plan quality
Abstract Background The advent of volumetric modulated arc therapy (VMAT) in radiotherapy has made it one of the most commonly used techniques in clinical practice. VMAT is the delivery of intensity modulated radiation therapy (IMRT) while the gantry is in motion, and existing literature has shown it has decreased treatment delivery times and the ...
Gregory Sadharanu Peiris+3 more
wiley +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
THE HISTORY, PREVALENCE AND PREVENTION OF RABIES AND ITS RELATION TO ANIMAL EXPERIMENTATION
Langdon Frothingham
openalex +2 more sources
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