Critical Care

Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare...

Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study.

Conventional approaches to material decomposition in spectral CT face challenges related to precise ...

Non-invasive acoustic classification of adult asthma using an XGBoost model with vocal biomarkers.

Traditional diagnostic methods for asthma, a widespread chronic respiratory illness, are often limit...

Network intrusion detection model using wrapper based feature selection and multi head attention transformers.

Nowadays, many fields, such as healthcare, farming, factories, transportation, cities, and homes are...

Evaluating crowdsourcing for ICU EEG annotation: A comparison with expert performance.

OBJECTIVE: Detection of seizures and rhythmic or periodic patterns (SRPPs) on electroencephalography...

In-depth bioinformatics analysis uncovers the crosstalk genes and immune interactions among diagnostic markers linked to natural killer cells in patients with cirrhosis and sepsis.

Patients with cirrhosis face an elevated risk of developing sepsis, leading to an escalating mortali...

Semi-supervised medical image segmentation based on multi-stage iterative training and high-confidence pseudo-labeling.

Due to the scarcity and high cost of pixel-level annotations for training data, semi-supervised lear...

An improved domain-adversarial network for predicting hemodialysis adequacy.

Hemodialysis (HD) is the primary life-sustaining treatment for patients with end-stage renal disease...

Longitudinal big biological data in the AI era.

Generating longitudinal and multi-layered big biological data is crucial for effectively implementin...

Machine learning algorithms to predict the risk of admission to intensive care units in HIV-infected individuals: a single-centre study.

Antiretroviral therapy (ART) has transformed HIV from a rapidly progressive and fatal disease to a c...

Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery.

A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases.

Pulmonary diseases have become one of the main reasons for people's health decline, impacting millio...

The relationship between clinical subtypes, prognosis, and treatment in ICU patients with acute cholangitis using unsupervised machine learning methods.

BACKGROUND: Acute cholangitis (AC) presents with significant clinical heterogeneity, and existing se...

Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose ...

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future.

Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundament...

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor.

Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelec...

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal...

Longitudinal image-based prediction of surgical intervention in infants with hydronephrosis using deep learning: Is a single ultrasound enough?

The potential of deep learning to predict renal obstruction using kidney ultrasound images has been ...

Multi-scale feature pyramid network with bidirectional attention for efficient mural image classification.

Mural image recognition plays a critical role in the digital preservation of cultural heritage; howe...

Multi-heat keypoint incorporation in deep learning model to tropical cyclone centering and intensity classifying from geostationary satellite images.

Hydrometeorological forecasting and early warning involve many hazardous elements, with the estimati...

Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding.

Acute gastrointestinal bleeding (AGIB) is a potentially lethal complication in cirrhosis. In this pr...