Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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Pathological voice classification based on multi-domain features and deep hierarchical extreme learning machine.

The intelligent data-driven screening of pathological voice signals is a non-invasive and real-time ...

Deep Learning Using Electrocardiograms in Patients on Maintenance Dialysis.

Cardiovascular morbidity and mortality occur with an extraordinarily high incidence in the hemodialy...

Review of Artificial Intelligence-Based Signal Processing in Dialysis: Challenges for Machine-Embedded and Complementary Applications.

Artificial intelligence technology is trending in nearly every medical area. It offers the possibili...

A novel method for conformity assessment testing of mechanical ventilators for post-market surveillance purposes.

BACKGROUND: Mechanical ventilators are medical devices used in intensive care units when patients ar...

A novel method for conformity assessment testing of dialysis machines for post-market surveillance purposes.

BACKGROUND: Dialysis machines are used regularly in healthcare practice. They are classified as a ty...

An end-to-end multi-task system of automatic lesion detection and anatomical localization in whole-body bone scintigraphy by deep learning.

SUMMARY: Limited by spatial resolution and visual contrast, bone scintigraphy interpretation is susc...

A Machine Learning-Based Approach Using Multi-omics Data to Predict Metabolic Pathways.

The integrative method approaches are continuously evolving to provide accurate insights from the da...

[Prediction of respiratory motion based on sequential embedding combined with relational embedding].

OBJECTIVE: To propose a deep learning model for modeling and prediction of the integration of respir...

Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.

BACKGROUND: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the inten...

Artificial intelligence in peritoneal dialysis: general overview.

OBJECTIVE: This article is a general overview about artificial intelligence/machine learning (AI/ML)...

[Research on Comprehensive Safety Monitoring System for Elderly Care Based on Artificial Intelligence and Information Fusion].

Nowadays, China has entered into an aging society; how to ensure safety in elderly care has drawn so...

Resonance prediction and inverse design of multi-core selective couplers based on neural networks.

Resonance analysis and structural optimization of multi-channel selective fiber couplers currently r...

Single-model multi-tasks deep learning network for recognition and quantitation of surface-enhanced Raman spectroscopy.

Surface-enhanced Raman scattering (SERS) spectroscopy analysis has long been the central task of nan...

learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial data.

We introduce the R-package learnMET, developed as a flexible framework to enable a collection of ana...

Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use.

OBJECTIVE: Clinical notes contain information that has not been documented elsewhere, including resp...

Multi-omic integration by machine learning (MIMaL).

MOTIVATION: Cells respond to environments by regulating gene expression to exploit resources optimal...

dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.

MOTIVATION: In multi-cohort machine learning studies, it is critical to differentiate between effect...

[Cascaded multi-level medical image registration method based on transformer].

In deep learning-based image registration, the deformable region with complex anatomical structures ...

Redo Robotic Partial Nephrectomy for Recurrent Renal Tumors: A Multi-Institutional Analysis.

As the experience with robot-assisted partial nephrectomy (RAPN) grows, the indications have expand...

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