Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
CardiacField: computational echocardiography for automated heart function estimation using two-dimensional echocardiography probes.
Eur Heart J Digit Health
January 2025
Department of Cardiovascular Surgery of Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Aims: Accurate heart function estimation is vital for detecting and monitoring cardiovascular diseases. While two-dimensional echocardiography (2DE) is widely accessible and used, it requires specialized training, is prone to inter-observer variability, and lacks comprehensive three-dimensional (3D) information. We introduce CardiacField, a computational echocardiography system using a 2DE probe for precise, automated left ventricular (LV) and right ventricular (RV) ejection fraction (EF) estimations, which is especially easy to use for non-cardiovascular healthcare practitioners.
View Article and Find Full Text PDFID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network.
Front Neurosci
January 2025
School of Data Science, Lingnan University, Hong Kong SAR, China.
Accurate monitoring of drowsy driving through electroencephalography (EEG) can effectively reduce traffic accidents. Developing a calibration-free drowsiness detection system with single-channel EEG alone is very challenging due to the non-stationarity of EEG signals, the heterogeneity among different individuals, and the relatively parsimonious compared to multi-channel EEG. Although deep learning-based approaches can effectively decode EEG signals, most deep learning models lack interpretability due to their black-box nature.
View Article and Find Full Text PDFAutomated process assessment of primary healthcare for hyperlipidemia: preliminary findings and implications form Anhui, China.
Lipids Health Dis
January 2025
School of Health Service Management, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui, 230032, China.
Background: Primary healthcare (PHC) plays a key role in hyperlipidemia (HL) management yet lacks adequate monitoring and feedback. This study aims at identifying pragmatic measures out from routinely collected electronic records to enable automatic monitoring and inform continuous optimization of HL-management at PHC settings.
Methods: The study used randomly selected electronic records of PHC (from the province-wide data center of Anhui-province, China) as the main data source and generated both procedure-based and encounter-based measures for assessing HL-management.
AI enabled, mobile soil pH classification with colorimetric paper sensors for sustainable agriculture.
PLoS One
January 2025
IBM Research, Rio de Janeiro, Brazil.
For optimizing production yield while limiting negative environmental impact, sustainable agriculture benefits from real-time, on-the-spot chemical analysis of soil at low cost. Colorimetric paper sensors are ideal candidates, however, their automated readout and analysis in the field is needed. Using mobile technology for paper sensor readout could, in principle, enable the application of machine-learning models for transforming colorimetric data into threshold-based classes that represent chemical concentration.
View Article and Find Full Text PDFClosed-loop ventilation and oxygenation with decision support fluid resuscitation to treat major burn injury with smoke induced acute respiratory distress syndrome.
Shock
January 2025
Department of Anesthesiology, The University of Texas Medical Branch, Galveston, Texas.
Introduction: The understanding of the interaction of closed-loop control of ventilation and oxygenation, specifically fraction of inspired oxygen (FiO2) and positive end-expiratory pressure (PEEP), and fluid resuscitation after burn injury and acute lung injury from smoke inhalation is limited. We compared the effectiveness of FiO2, PEEP, and ventilation adjusted automatically using adaptive support ventilation (ASV) and decision support fluid resuscitation based on urine output in a clinically relevant conscious ovine model of lung injury secondary to combined smoke inhalation and major burn injury.
Methods: Sheep were subjected to burn and smoke inhalation injury under deep anesthesia and analgesia.
Want 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!