Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices.

Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment.

Automated Detection of Acute Respiratory Distress Using Temporal Visual Information.

Label Propagation Techniques for Artifact Detection in Imbalanced Classes Using Photoplethysmogram Signals.

A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection.

Multimodality Video Acquisition System for the Assessment of Vital Distress in Children.

Label Propagation Techniques for Artifact Detection in Imbalanced Classes using Photoplethysmogram Signals.

A Small-Scale Switch Transformer and NLP-based Model for Clinical Narratives Classification.

Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning.

Arterial Partial Pressures of Carbon Dioxide Estimation Using Non-Invasive Parameters in Mechanically Ventilated Children.

Automatic eye localization for hospitalized infants and children using convolutional neural networks.

Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation.

Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives.

Quantitative Assessment of Spontaneous Breathing in Children: Evaluation of a Depth Camera System.

Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration.

The implementation of a synchronous telemedicine platform linking off-site pediatric intensivists and on-site fellows in a pediatric intensive care unit: A feasibility study.

Visualizing and Quantifying Thoraco-Abdominal Asynchrony in Children From Motion Point Clouds: A Pilot Study.

Compression of Patient's Video for Transmission Over Low Bandwidth Network.

3D imaging system for respiratory monitoring in pediatric intensive care environment.

Computer-aided diagnosis system for the Acute Respiratory Distress Syndrome from chest radiographs.