Results 231 to 240 of about 1,849,664 (323)

[Anxiety and burnout in health personnel in times of COVID-19 in Mexico]. [PDF]

open access: yesRev Med Inst Mex Seguro Soc
Padrós-Blázquez F   +9 more
europepmc   +1 more source

Overview of the primary health care centers, healthcare personnel, and consultations observed in the time-motion study.

open access: green
Altiona Muho (14014308)   +5 more
openalex   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Magnitude and Durability of the Antibody Response to mRNA-Based Vaccination Among SARS-CoV-2 Seronegative and Seropositive Health Care Personnel

open access: green
Emily J. Ciccone   +21 more
openalex   +1 more source

Analysis and determinants of Chinese navy personnel health status: a cross-sectional study [PDF]

open access: gold, 2018
Xie Sha-li   +6 more
openalex   +1 more source

Neonatal Respiration Monitoring System with Synchronized Oxygen Supply and Machine Learning‐Based Breathing Classification

open access: yesAdvanced Intelligent Systems, EarlyView.
The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma   +3 more
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian   +37 more
wiley   +1 more source

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