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Digital Home-Based Self-Monitoring System for People with Heart Failure: Protocol for Development of SmartHeart and Evaluation of Feasibility and Acceptability.
JMIR Res Protoc
January 2025
School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.
Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.
View Article and Find Full Text PDFUse of Augmented Reality for Training Assistance in Laparoscopic Surgery: Scoping Literature Review.
J Med Internet Res
January 2025
I3A, LoUISE Research Group, University of Castilla-La Mancha, Albacete, Spain.
Background: Laparoscopic surgery training is a demanding process requiring technical and nontechnical skills. Surgical training has evolved from traditional approaches to the use of immersive digital technologies such as virtual, augmented, and mixed reality. These technologies are now integral to laparoscopic surgery training.
View Article and Find Full Text PDFonEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation.
PLoS One
January 2025
Trinity Centre for Biomedical Engineering, Trinity College Dublin, Dublin, Ireland.
Electroencephalographic signals are obtained by amplifying and recording the brain's spontaneous biological potential using electrodes positioned on the scalp. While proven to help find changes in brain activity with a high temporal resolution, such signals are contaminated by non-stationary and frequent artefacts. A plethora of noise reduction techniques have been developed, achieving remarkable performance.
View Article and Find Full Text PDFInterrupted versus uninterrupted anticoagulation for cardiac rhythm management device insertion.
Cochrane Database Syst Rev
January 2025
Department of Pharmacy Practice, University of Connecticut, Storrs, CT 06269, USA.
Background: Guideline-recommended strategies to interrupt chronic anticoagulation with warfarin or direct oral anticoagulants (DOAC) during the perioperative period of cardiac implantable electronic device (CIED) surgery differ worldwide. There is uncertainty concerning the benefits and harms of interrupted and uninterrupted anticoagulation in patients undergoing CIED surgery.
Objectives: To assess the benefits and harms of interrupted anticoagulation (IAC) with either warfarin or DOAC in the perioperative period of CIED surgery versus uninterrupted anticoagulation (UAC), with or without heparin bridging, during an equivalent time frame, for CIED surgery.
A novel artificial intelligence-powered tool for automated root canal segmentation in single-rooted teeth on cone-beam computed tomography.
Int Endod J
January 2025
OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven, Leuven, Belgium.
Aim: To develop and validate an artificial intelligence (AI)-powered tool based on convolutional neural network (CNN) for automatic segmentation of root canals in single-rooted teeth using cone-beam computed tomography (CBCT).
Methodology: A total of 69 CBCT scans were retrospectively recruited from a hospital database and acquired from two devices with varying protocols. These scans were randomly assigned to the training (n = 31, 88 teeth), validation (n = 8, 15 teeth) and testing (n = 30, 120 teeth) sets.
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