Latest Articles for Healthcare

Evaluating LLMs for improving clinical documentation efficiency.

Beta-thalassemia affects not just blood health but also mental well-being in children.

A new model improves heart activity reconstruction from reduced ECG leads.

Study assesses the accuracy of ethnicity recording in primary care.

Preventing healthcare-associated infections is essential for patient and worker safety.

DEBS method improves heart condition detection using time series data.

RecycleNet improves neural network decision-making for better medical image predictions.

This article examines a pilot program for cancer patients with ostomies.

A look at advanced techniques for policy evaluation in healthcare decision-making.

Learn how Bayesian methods enhance prediction accuracy in uncertain outcomes.

Examining the role of computational fluid dynamics in nasal airways assessment.

This overview analyzes the effectiveness and impacts of COVID-19 health measures.

A study comparing PIVCs and CVCs for delivering vasopressors in critically ill patients.

A new tool improves robots' ability to handle small objects.

MA-SAM enhances medical image segmentation by adapting SAM to unique imaging characteristics.

SHAPNN enhances predictions and explanations in tabular data analysis using deep learning.

REVEL offers insights into harmful genetic mutations for better health outcomes.

New method detects seizures while ensuring patient privacy and improving response time.

Research highlights the importance of PSA monitoring for salvage therapy in prostate cancer.

Study finds significant brainstem changes in COVID-19 survivors linked to ongoing symptoms.

Text injection helps recognize personal information while maintaining privacy.

A new system aids dermatologists in identifying skin patterns using machine learning.

A review of the NASSS framework's application in healthcare technology adoption.

A new model enhances accuracy in segmenting brain lesions using large-kernel attention.

Addressing safety measures for dental healthcare workers and infection risks.

A new model improves feature extraction for whole slide images in healthcare.

This method enhances mobile robots' path planning in changing environments.

A study on carotid artery ultrasound's effectiveness in predicting vascular issues.

Study examines blood markers for predicting TB treatment success after eight weeks.

A study on identifying the best option while ensuring data privacy.

This study examines the impact of COVID-19 across different patient groups.

Study highlights suicide risk factors in epilepsy and functional/dissociative seizures.

Exploring better solutions for peripheral arterial disease diagnosis and treatment.

This study shows how new methods enhance knee OA severity classification.

New study reveals methods for predicting postoperative delirium in surgical patients.

A novel meta-learning model improves predictions with less data.

This study examines how patient self-diagnosis affects language model accuracy in medicine.

SPACE reveals complex interactions in biological tissues for deeper insights.

Study shows AI tools can improve accuracy in clinical decisions.

Study explores how to improve AI decision explanations for better patient understanding.