Results 91 to 100 of about 441,765 (218)
This single‐center retrospective study evaluated perioperative outcomes after hepatectomy in 749 patients, including 140 receiving ATT, using propensity score matching to compare ATT and non‐ATT cohorts. Under standardized perioperative management, ATT did not increase major bleeding, transfusion, or severe morbidity overall; however, within the ATT ...
Haruki Mori +9 more
wiley +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
This study introduces a hydraulically steerable catheter with a soft tip in vascular procedures. The steering soft tip achieves a minimal diameter of 2.6 mm and supports a 180° bend. Real‐time shape and position tracking, facilitated by segmentation and endpoint detection techniques, improves navigation.
Jingyi Kang +9 more
wiley +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
ABSTRACT We examined the relationship between adverse childhood experiences (ACEs) and epigenetic age acceleration (EAA) in adulthood as measured by second and third generation epigenetic clocks by performing a systematic review of the literature. The electronic databases MEDLINE and EMBASE were searched on 17 July 2023.
Matthew Green +2 more
wiley +1 more source
Continuous electrocardiogram monitoring in porcine model of myocardial ischemia reperfusion
Wearable technology for continuous electrocardiogram monitoring can be utilized in porcine models of disease. Abstract As cardiovascular disease is the leading cause of global mortality, innovative animal models are vital to demonstrating the translational value of experimental discoveries. Investigations focused on myocardial remodeling after ischemia
Nathaniel Hyams +8 more
wiley +1 more source
Objective The objective of this study was to test if blood–brain barrier (BBB) disruption, detected using dynamic susceptibility contrast (DSC) imaging, would predict progression of white matter hyperintensities (WMHs) over the subsequent year in patients with chronic cerebrovascular disease. Methods The study included patients with a history of stroke
Richard Leigh +4 more
wiley +1 more source
Comprehending the Membrane Properties for Emulation in Organs‐on‐a‐Chip
The advent of organ‐on‐chip models allows closer emulation of in vivo conditions, leading to effective, less costly, and specific drugs. Although a number of membrane‐based on‐chip models exist, better emulating functional models need to be devised for organ simulations.
Tanmayee Makarand Sathe +1 more
wiley +1 more source

