Latest Articles for Patient Care

PatWay-Net combines machine learning with clear predictions for patient outcomes.

Deep learning enhances MRI scans, improving speed and image quality for better diagnosis.

New insights into how immune therapy improves lung cancer outcomes.

This study reveals the impact of mental health on sepsis treatment and outcomes.

A new approach to improve AI-generated answers in healthcare.

Learn about lung adenocarcinoma and recent advances in treatment options.

A look at new methods in brain MRI image registration for improved patient care.

Using data sources to enhance accuracy in diagnosing rare diseases.

A study on enhancing telehealth communication skills for healthcare providers.

Candida auris poses serious infection risks, especially in hospitals.

This article discusses a novel framework for identifying drug side effects over time.

A critical review of GPT-4V's role in clinical settings.

MMIST-ccRCC provides comprehensive data for personalized cancer care.

A study reveals challenges and potential solutions for effective medication reviews.

Study confirms diluted treprostinil remains stable for 76 hours in pump cassettes.

Study reveals potential of AI in predicting OHSS risks during fertility treatments.

A new method enhances cystoscopy video analysis for bladder cancer detection.

A study in Nepal reveals ongoing health issues post COVID-19.

Extended battery life in CRT-D devices can reduce costs and improve patient care.

New imaging techniques may help predict stroke risk.

New wireless technology improves safety and efficiency in brain-computer connections.

This study focuses on better diagnosing and predicting outcomes for obstructive sleep apnea.

High MMP-3 levels may signal ongoing joint damage in rheumatoid arthritis patients.

Atrial fibrillation increases stroke risk; monitoring is essential for early detection.

A new method improves the comparison of observational studies and randomized trials.

A study explores how AI can better predict outcomes for glioblastoma patients.

A study investigates the impact of RV size on exercise performance in TOF patients.

Study assesses the effectiveness and cost of metagenomic NGS in diagnosing infections.

A detailed look at sepsis definitions and their impact on patient outcomes.

A challenge aims to enhance tumor outlining on brain scans for better treatment planning.

Study examines liver function in COVID-19 patients and its relation to disease severity.

Delays in bypass surgery may lead to better survival than timely PCI in older patients.

A look into methods for tracking medication side effects.

Low-level laser therapy shows promise in reducing post-surgery pain and medication use.

A study identifies distinct sepsis subtypes in Tanzania to guide treatment.

Research reveals MAFG's critical role in melanoma's aggressive behavior and treatment resistance.

A look at the CARES app for improving HIV treatment management.

New models show promise in tracking walking issues in Parkinson's patients.

CConnect combines machine learning with MRI for better image quality and efficiency.

This study explores how machine learning can predict lung function changes in SSc-ILD.