Results 111 to 120 of about 647,370 (315)
Design of high frequency ultrasonic array transducers for medical imaging [PDF]
Ultrasonic transducers have been widely used in the medical applications. High frequency array transducers have recently attracted many research interests, since it provides not only the electronic beamforming but also the very fine image resolution. The
Qian, Yichen
core
ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin +6 more
wiley +1 more source
Leveraging foundation and large language models in medical artificial intelligence
. Recent advancements in the field of medical artificial intelligence (AI) have led to the widespread adoption of foundational and large language models.
Io Nam Wong +8 more
doaj +1 more source
Ganetic loss for generative adversarial networks with a focus on medical applications
Abstract Generative adversarial networks (GANs) are machine learning models that are used to estimate the underlying statistical structure of a given dataset and, as a result, can be used for a variety of tasks, such as image generation or anomaly detection.
Shakhnaz Akhmedova, Nils Körber
openaire +2 more sources
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig +7 more
wiley +1 more source
Nanotechnology has an increasing impact and a great potential in various biological and medical applications. Magnetic nanoparticles (MNPs) stand out for their unique properties, a reason why they have a varied spectrum of applicability in different ...
Natalia L. Paul +3 more
doaj +1 more source
A systematic review on the generative AI applications in human medical genetics
Although traditional statistical techniques and machine learning methods have contributed significantly to genetics and, in particular, inherited disease diagnosis, they often struggle with complex, high-dimensional data, a challenge now addressed by state-of-the-art deep learning models. Large language models (LLMs), based on transformer architectures,
Anton Changalidis +3 more
openaire +3 more sources
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier +11 more
wiley +1 more source
This policy outlines the process employers must follow to apply for Area of Need for provision of medical services and the assessment criteria that applications must ...
Department of Health
core
ABSTRACT Introduction Nephrogenic rests (NRs) and nephroblastomatosis (NBM) are precursor lesions for development of Wilms tumor (WT). Their association with the risk of relapse has not been properly assessed, partly due to misunderstanding of their diagnostic criteria and terminology.
Gordan M. Vujanić +5 more
wiley +1 more source

