Latest Articles for Patient Care

Study reveals differences in health quality assessment tools for HOCM patients.

Research reveals key factors in heart failure treatment effectiveness.

A novel approach to enhance specialist recommendations in healthcare.

A new method enhances sepsis prediction accuracy through better data correction.

A look at how Bayesian DCA improves clinical decision-making in healthcare.

Optimizing DECT settings enhances imaging for better medical diagnoses.

A new model aims to reduce health disparities in electronic records.

A new method improves patient care by merging clinical and digital data.

A novel method to analyze patient data from wearables for better health insights.

Discover methods for automatic arrhythmia detection using single-channel ECG signals.

A new single-shot method improves MRI water-fat imaging speed and clarity.

Research shows how machine learning models can improve accuracy across varied patient groups.

Combining survival analysis with contrastive learning to improve patient outcome predictions.

Research explores brain simulations and how parameters impact virtual brain behavior.

A study explores nasopharyngeal swabs for diagnosing Pneumocystis pneumonia.

New method enhances healthcare model updates by focusing on rankings and user expectations.

Study reveals benefits of rosuvastatin for COPD patients with hypertension.

Using AI to accurately identify facial expressions in healthcare settings.

A new dataset aids in assessing language models for healthcare applications.

PECon combines CT scans and EHR data to improve PE diagnosis.

A novel pipeline uses imaging to identify patients likely to respond to immunotherapy.

Introducing AutoSAM Adapter for improved 3D medical image analysis.

Study highlights heart function and size changes post-treatment for CAD patients.

Study compares directional stimulation to traditional methods in Parkinson's disease treatment.

An innovative approach improves accuracy in needle insertion using optical imaging and AI.

Research shows promise in using radiotracers to improve cancer treatment predictions.

Combining medical knowledge graphs with AI enhances diagnosis accuracy.

Medical students seek more AI knowledge for future healthcare.

Study assesses resting TTE's accuracy for detecting coronary artery disease.

GPT-4V shows promise in diagnosing complex medical cases effectively.

TriadNet provides accurate measurements and predictive intervals for brain lesions.

Research reveals distinct patient groups for better chronic low back pain care.

Research improves seizure prediction accuracy through EEG analysis and feature selection.

Research aims to personalize brain stimulation treatments for patients with DoC.

Revolutionizing medical imaging through innovative implicit neural representations.

Research aims to enhance choices for cancer treatment using predictive biomarkers.

New techniques speed up MRI scans while improving image quality.

A new model improves coronary artery disease risk evaluation and treatment suggestions.

Research reveals new drug combos that could improve treatment for ovarian and breast cancer.

New AI tool forecasts treatment areas in coronary procedures.