Latest Articles for Healthcare

BCI technology enhances AR interaction, improving accessibility and user experience.

Introducing LUQ-Learning, an approach that integrates patient choices in healthcare.

A new approach enhances decision-making in medical imaging by combining human expertise and machine-generated insights.

A look at how pathogens evolve against antibiotics and the implications for treatment.

COPE-SCD offers vital resources for families after losing a loved one unexpectedly.

New improvements adapt machine learning models to noisy, irregular data.

A new framework improves patient outcome predictions using diverse medical data.

Study reveals significant delays in disease diagnosis for women compared to men.

MC-DRE framework improves identification of drug-related events through multi-aspect integration.

Examining fairness in machine learning to reduce bias in critical sectors.

E.PathDash simplifies data analysis for cystic fibrosis research, enhancing treatment insights.

A probabilistic approach improves classification of time series data with missing values.

Our study applies computer vision techniques to improve label accuracy in EHR data.

Examining the impact of cognitive health on aging populations in Egypt.

Research shows promise in predicting age using whole-body MRI scans.

Investigating how CPR skills are retained among critical care and general care nurses.

This article investigates how immune responses affect COVID-19 severity.

MEB tackles noisy contexts in decision-making for better rewards.

An overview of convolution's impact across various fields and its historical development.

A new attack shows risks to patient data safety in federated learning systems.

Research enhances algorithms for identifying similar patients using ICD codes.

Study finds higher ABO protein levels linked to pregnancy complications.

New insights into cardiovascular systems enhance treatment approaches for heart diseases.

Exploring the impact of real-world data on health technology assessments.

EDICT enhances predictions for data collected at uneven intervals, improving decision-making.

A new model optimizes preventive care for diabetes, improving patient outcomes and reducing costs.

This article explores methods to remove noise from EEG recordings for improved analysis.

GastroVision offers 8,000 endoscopic images for improved detection of gastrointestinal diseases.

Examining the costs and benefits of personalized medicine in limited-resource hospitals.

A new method enhances ViTs for safer medical imaging.

Examining the impact of genetic diagnosis on children with developmental disorders.

A framework for creating fair and inclusive smart devices.

Study examines GPT-3.5-turbo's ability to provide clinical recommendations in emergency settings.

New methods aim to improve calibration in risk prediction models across diverse groups.

A dataset to enhance automatic differential diagnosis systems for better patient interaction.

Developing a tool to assess emergency and mortality risks for epilepsy patients.

IGNNet aims to provide clear explanations for machine learning predictions.

A new benchmark for evaluating language models in Chinese medical contexts.

This article highlights how ADHD diagnosis varies by gender and age.

Learn how optimal decision trees enhance decision-making in critical fields.