Latest Articles for Patient Care

Research reveals genetic impacts on survival in idiopathic pulmonary fibrosis.

A study highlights the need to measure and improve nurse wellbeing in the NHS.

VIEWER streamlines patient data for mental health professionals.

New imaging techniques improve clarity in minimally invasive surgeries.

Study examines long-term vision results and satisfaction from Eyhance IOL implantation.

AI is transforming healthcare by enhancing patient care and reducing workloads.

Learn how sEEG and seegnificant aid in understanding brain signals for epilepsy.

A new model improves predictions for endoscopic pituitary surgery durations.

RadFlag helps ensure AI-generated medical reports are accurate and trustworthy.

MEDS-Tab streamlines health data analysis for better patient care.

A look at improving fairness in ICU patient survival predictions using data.

PathoGen-X combines imaging and genomic data for better cancer survival predictions.

This study examines the impact of preoperative clinics on patient recovery.

XST-GCNN helps predict multidrug resistance in ICU patients using advanced data analysis.

Researchers study miR-21 as a potential tool for glioma diagnostics and prognosis.

New methods show promise in early detection and treatment response prediction for RA.

RPM services are increasing in U.S. hospitals, impacting heart failure readmissions.

Exploring methods to integrate diverse medical data for improved patient care.

A new framework analyzes diverse health data to improve patient outcomes.

DRL-STNet improves segmentation of medical images across different modalities.

Insights into how patient factors affect drug responses.

New methods enhance the analysis of medical images by connecting 2D and 3D data.

AI technology is changing how radiology reports are created, improving efficiency.

Patients with blood cancers face challenges in accessing quality end-of-life care.

Examining how mental health affects recovery from physical pain in emergency care.

Pharmacists play a key role in improving heart failure patient outcomes and reducing hospital visits.

An evaluation of clinical trial protocols focused on intervertebral disc degeneration.

Combining imaging and genetic data improves lung cancer diagnosis accuracy.

Advancements in technology aim to boost breast cancer detection rates.

A study on the effectiveness of CBHI services in Ethiopia's healthcare system.

A study exploring death risks for heart failure patients post-CRT treatment.

This technique boosts accuracy in diagnosing diseases using advanced image analysis.

A look into methods for better survival estimates in patients with serious conditions.

Research aims to find reliable blood markers for early cancer detection.

Study shows AI tools excel in answering pathology questions compared to human trainees.

Researchers focus on tailoring cancer treatments using machine learning for better outcomes.

Machine learning is reshaping healthcare by improving diagnoses and integrating medical guidelines.

Reviewing the potential of technology in predicting outcomes for HNSCC patients.

New methods improve transparency in AI decisions for medical image analysis.

Combining medical images and genetic data enhances lung cancer survival predictions.