BACKGROUND AND AIMS: Accurate near-term prediction of life-threatening ventricular arrhythmias would enable pre-emptive actions to prevent sudden cardiac arrest/death. A deep learning-enabled single-lead ambulatory electrocardiogram (ECG) may identif...
Similar to major natural disasters and large-scale wars, the events of October 7th and the retaliatory Iron Swords war resulted in both direct and indirect exposure of a significant proportion of the population to traumatic events. A major challenge ...
This study presents a machine learning model to predict renal function decline following minimally-invasive partial nephrectomy. Using a dataset of 556 patients treated between 2015 and 2023, the model incorporated patient, tumor, and intraoperative ...
AIM: To explore the perspectives and experiences of nurse managers regarding the impact of artificial intelligence (AI) on nursing work environments and managerial processes.
Automation and AI-driven decision support systems are increasingly reshaping healthcare, particularly in diagnostic and clinical management contexts. Although their potential to enhance access, efficiency and personalisation is widely recognised, the...
PURPOSE: This study explores the impact of AI-driven personalization, interactive features, and real-time feedback on user engagement and experience among marathon enthusiasts.
Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan
Jun 1, 2025
Under the background of Artificial Intelligence (AI) and medical data informationization, intelligent Traditional Chinese Medicine (TCM) emerges as a new medical model. In this study, we introduce Affective Computing into the diagnosis and treatment ...
OBJECTIVES: To determine the corpus callosum index (CCI) differences between chronic phase multiple sclerosis (MS) patients and healthy individuals and to evaluate the corpus callosum segmentation in MS patients using artificial intelligence technolo...
Colorectal cancer (CRC) remains a major cause of cancer-related deaths worldwide, with early detection being crucial for improving survival rates. Despite the potential of extracellular vesicles (EVs) as blood biomarkers for CRC diagnosis, their clin...
Purpose To evaluate the diagnostic performance of artificial intelligence (AI) models in detecting and classifying aortic dissection (AD) from CT images through a systematic review and meta-analysis. Materials and Methods PubMed, Web of Science, Emba...
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