Critical Care

A new method for detecting mixed bacteria based on multi-wavelength transmission spectroscopy technology.

Previously, we successfully realized the identification of a single species of bacteria based on the...

Two-Step Registration on Multi-Modal Retinal Images via Deep Neural Networks.

Multi-modal retinal image registration plays an important role in the ophthalmological diagnosis pro...

Screening Anti-inflammatory, Anticoagulant, and Respiratory Agents for SARS-CoV-2 3CL Inhibition from Chemical Fingerprints Through a Deep Learning Approach.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiologic agent of cor...

Construction of a prediction model for drug removal rate in hemodialysis based on chemical structures.

In designing drug dosing for hemodialysis patients, the removal rate (RR) of the drug by hemodialysi...

Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study.

OBJECTIVES: We aim ed to evaluate a commercial artificial intelligence (AI) solution on a multicente...

A Two-Stage Approach to Important Area Detection in Gathering Place Using a Novel Multi-Input Attention Network.

An important area in a gathering place is a region attracting the constant attention of people and h...

DMPP: Differentiable multi-pruner and predictor for neural network pruning.

Neural network pruning can trim the over-parameterized neural networks effectively by removing a num...

False Ceiling Deterioration Detection and Mapping Using a Deep Learning Framework and the Teleoperated Reconfigurable 'Falcon' Robot.

Periodic inspection of false ceilings is mandatory to ensure building and human safety. Generally, f...

Multi-energy level fusion for nodal metastasis classification of primary lung tumor on dual energy CT using deep learning.

Lymph node metastasis also called nodal metastasis (Nmet), is a clinically primary task for physicia...

Development of computer-aided model to differentiate COVID-19 from pulmonary edema in lung CT scan: EDECOVID-net.

The efforts made to prevent the spread of COVID-19 face specific challenges in diagnosing COVID-19 p...

Comparison of Higher-Than-Standard to D-Dimer Driven Thromboprophylaxis in Hospitalized Patients With COVID-19.

Coronavirus disease 2019 is a global health threat often accompanied with coagulopathy. Despite use...

Correlation Analysis of Synchronization Type and Degree in Respiratory Neural Network.

Pre-Bötzinger complex (PBC) is a necessary condition for the generation of respiratory rhythm. Due t...

A multi-stage machine learning model for diagnosis of esophageal manometry.

High-resolution manometry (HRM) is the primary procedure used to diagnose esophageal motility disord...

Clinical implications of the newly defined concept of ventilator-associated events in trauma patients.

PURPOSE: Ventilator-associated pneumonia is the most common nosocomial infection in patients with me...

Multi-Stage Feature Extraction and Classification for Ship-Radiated Noise.

Due to the complexity and unique features of the hydroacoustic channel, ship-radiated noise (SRN) de...

Multi-step ahead predictive model for blood glucose concentrations of type-1 diabetic patients.

Continuous monitoring of blood glucose (BG) levels is a key aspect of diabetes management. Patients ...

I, DOCTOR: The role of machine learning in phenotyping ARDS.

MBANet: Multi-branch aware network for kidney ultrasound images segmentation.

Due to the influence of kidney morphology, heterogeneous structure and image quality, segmenting kid...

Investigating the Effect of Expiratory Time Constant on Outcome in Intubated Patients with Acute Respiratory Failure Caused by COVID-19 in Critical Care Unit: A Research Study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) has a high prevalence and mortality worldwide. T...

Needs Assessment Survey Identifying Research Processes Which may be Improved by Automation or Artificial Intelligence: ICU Community Modeling and Artificial Intelligence to Improve Efficiency (ICU-Comma).

BACKGROUND: Critical care research in Canada is conducted primarily in academically-affiliated inten...

Is artificial intelligence ready to solve mechanical ventilation? Computer says blow.

Artificial intelligence (AI) has the potential to identify treatable phenotypes, optimise ventilatio...