Latest Articles for Patient 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.

New method enhances explainability in kidney stone image analysis.

New findings highlight the role of TGFβ and NK cells in treatment responses.

New method promises quicker identification of speech disorders like aphasia.

Enhancing chest X-ray diagnoses through feedback-driven algorithms.

New methods enhance health data analysis for chronic conditions.

A novel technique enhances image quality in cardiovascular MRI.

A study on how indoor localisation aids in monitoring Parkinson's disease symptoms.

Platform trials improve efficiency in testing multiple treatments simultaneously.

Research aims to predict vision problems in MS patients using health data.

Using AI to improve spike detection for better patient outcomes in brain surgery.

Examining how tau tangles impact symptoms in Alzheimer's patients.

This study evaluates how health professionals manage burnout in Switzerland.

Exploring strategies to handle missing data due to patient withdrawal in clinical trials.

Study reveals the necessity of monitoring patients with diabetic eye conditions post-treatment.

New insights suggest personalized treatments for Crohn's disease may improve patient outcomes.

New approaches in neurostimulation show promise for epilepsy treatment.

MAD offers a new approach to improve medical image alignment across different techniques.

Machine learning models can tailor drug dosages for better transplant outcomes.

Targeted therapies are changing cancer treatment by focusing on specific cancer cell characteristics.

Innovative approach reduces time and effort needed for ultrasound video annotation.

New methods improve detection of unusual medical images for better diagnostics.

Exploring healthcare professionals' views on antipsychotic medication management.

New methods in OCT imaging enhance diagnosis of full thickness macular holes.

Research shows potential new markers for liver cancer detection.

Exploring the connections among heart failure, atrial fibrillation, and stroke risk.

A new method enhances medication recommendations by analyzing patient health histories.

A study evaluates guideline adherence for heart failure treatment in Nairobi hospitals.

This article discusses methods for analyzing treatment effectiveness in clinical trials.

New method improves accuracy in medical image segmentation with limited data.

A new method boosts accuracy and trust in medical image diagnosis.

Research focuses on AI models to improve prostate cancer detection and provide confidence levels.

Streamlined models can enhance healthcare outcomes using machine learning.