Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.rec.2023.02.014 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Extraction of compression indices from maternal-fetal heart rate simultaneous signals.
PLoS One
January 2025
MEDCIDS - Department of Community Medicine, Information and Decision in Health, Faculty of Medicine, University of Porto, Porto, Portugal.
Intrapartum asphyxia is responsible for approximately 900 000 deaths per year worldwide. These numbers show the urgency of investing in the quality of fetal health care. The heart rate signal is a complex signal and sometimes behaves unpredictably.
View Article and Find Full Text PDFWTAP regulates Mitochondrial damage and Lipid oxidation in HCC by NOA1 mediated m6A modification.
J Cancer
January 2025
Department of Laboratory Medicine, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, People's Republic of China.
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide. However, the molecular mechanism underlying the occurrence and development of HCC remains unclear. We are interested in the function of m6A methylation enzyme WTAP in the occurrence and development of HCC.
View Article and Find Full Text PDFAn Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review.
Rev Cardiovasc Med
December 2024
University Center for Research & Development, Chandigarh University, 140413 Mohali, India.
Background: Obstructive sleep apnea (OSA) is a severe condition associated with numerous cardiovascular complications, including heart failure. The complex biological and morphological relationship between OSA and atherosclerotic cardiovascular disease (ASCVD) poses challenges in predicting adverse cardiovascular outcomes. While artificial intelligence (AI) has shown potential for predicting cardiovascular disease (CVD) and stroke risks in other conditions, there is a lack of detailed, bias-free, and compressed AI models for ASCVD and stroke risk stratification in OSA patients.
View Article and Find Full Text PDFImpact of a Quality Cardiopulmonary Resuscitation Coach on Pediatric Intensive Care Unit Resuscitation Teams.
Am J Crit Care
January 2025
Christine A. Schindler is a critical care pediatric nurse practitioner, critical care advanced practice provider program director, Children's Wisconsin/Medical College of Wisconsin, and a clinical professor, Marquette University, Milwaukee, Wisconsin.
Background: The quality cardiopulmonary resuscitation (CPR) coach role was developed for hospital-based resuscitation teams. This supplementary team member (CPR coach) provides real-time, verbal feedback on chest compression quality to compressors during a cardiac arrest.
Objectives: To evaluate the impact of a quality CPR coach training intervention on resuscitation teams, including presence of coaches on teams and physiologic metrics of quality CPR delivery in real compression events.
Augmented prediction of vertebral collapse after osteoporotic vertebral compression fractures through parameter-efficient fine-tuning of biomedical foundation models.
Sci Rep
December 2024
Department of Medical Device Development, Seoul National University College of Medicine, Seoul, Republic of Korea.
Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!