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Nat Commun
January 2025
Department of Bioengineering, Imperial College London, London, UK.
Robotic artificial muscles, inspired by the adaptability of biological muscles, outperform rigid robots in dynamic environments due to their flexibility. However, the intrinsic compliance of the soft actuators restricts force transmission capacity and dynamic response. Biological muscle modulates their stiffness and damping, varying viscoelastic properties and force in interaction with the surroundings.
View Article and Find Full Text PDFAbdom Radiol (NY)
January 2025
Kerman University of Medical Sciences, Kerman, Islamic Republic of Iran.
Background And Aim: Prior investigations of the natural history of abdominal aortic aneurysms (AAAs) have been constrained by small sample sizes or uneven assessments of aggregated data. Natural language processing (NLP) can significantly enhance the investigation and treatment of patients with AAAs by swiftly and effectively collecting imaging data from health records. This meta-analysis aimed to evaluate the efficacy of NLP techniques in reliably identifying the existence or absence of AAAs and measuring the maximal abdominal aortic diameter in extensive datasets of radiology study reports.
View Article and Find Full Text PDFNASN Sch Nurse
January 2025
Department Head Department of Human Development and Family Sciences at Virginia Tech Blacksburg, VA.
Nurse rounds have long been an established practice in clinical settings, resulting in improved patient care through accurate assessment, evaluation, and communication. This practice has also been shown to create seamless patient-centered care among the medical team, the patient, and their family members. While nurse rounds are an important component of clinical care, school nurses have not adopted this practice.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA.
Continuous and consistent access to quality medical imaging data stimulates innovations in artificial intelligence (AI) technologies for patient care. Breakthrough innovations in data-driven AI technologies are founded on seamless communication between data providers, data managers, data users and regulators or other evaluators to determine the standards for quality data. However, the complexity in imaging data quality and heterogeneous nature of AI-enabled medical devices and their intended uses presents several challenges limiting the clinical translation of novel AI technologies.
View Article and Find Full Text PDFCirc J
January 2025
Department of Frontier Cardiovascular Science, Graduate School of Medicine, The University of Tokyo.
Background: Comprehensive management of acute coronary syndrome (ACS) requires seamless treatment across institutions, including intensive care centers and local clinics. However, maintaining guideline-directed medical therapy remains challenging. One promising option to improve the situation may be the implementation of regional collaborative clinical pathways.
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