Latest Articles for Patient Care

A look at how blood flow models aid in heart disease treatment.

A study reveals the impact of infection control in ICU on antimicrobial resistance.

Research highlights treatment options for a severe leptospirosis complication.

This article reviews new methods to determine adequate follow-up periods in survival research.

Study assesses the role of f-QRS in identifying heart scars using EKG.

Study reveals genetic ties between epilepsy and cognitive abilities.

A new approach to improve understanding and clustering of patient treatment sequences.

CORE-BEHRT improves Electronic Health Record predictions with enhanced data representation and model design.

This study examines biases in large language models used in healthcare.

Review of antipsychotic prescription trends for severe mental illnesses in the UK.

Exploring the challenges and advancements in Parkinson’s Disease research and treatment.

This article discusses modeling thin structures like the diaphragm from medical images.

Researchers study patterns in seizures to improve predictive methods and patient care.

A study reveals long-term survival factors in heart failure patients.

Rad4XCNN bridges deep learning and radiomics for clearer medical AI insights.

This study investigates how time and experience affect diagnostic accuracy in dermatology.

Exploring strategies to improve healthcare treatment efficiency and fairness.

The Kano Model helps enhance patient satisfaction in healthcare settings.

This paper discusses methods for improving treatment assignment using past data.

Exploring the complexities of managing medical images in radiology research.

Researchers develop tool to clarify treatment benefits from phase III cancer trials.

Examining teleconsultation's impact on patient care and medical education.

Med-Gemini enhances healthcare with advanced AI for diagnostics and patient interaction.

This study examines the link between blood sugar control and diabetic foot complications.

A new model improves risk assessment for AML patients using machine learning techniques.

GMS improves medical image segmentation using generative models for better accuracy.

Examining how ChatGPT impacts healthcare and its potential uses.

A new approach improves diagnosis and treatment decisions for carotid stenosis.

Analyzing the impact and risks of common cholesterol-lowering medications.

A new model improves health outcome predictions by integrating meta-features.

Study examines AI's effectiveness in generating patient discharge summaries.

Learn how few-shot learning is transforming biomedical data analysis in healthcare.

This study aims to improve care for patients leaving intensive care units.

A simulation environment that improves doctor agent training through patient interactions.

Learn how cataract surgery can impact astigmatism and vision.

Using a new model to predict patient outcomes from Electronic Health Records.

A new model helps assess economic impacts of Alzheimer’s treatments.

This study connects genetics to how people respond to medications.

This article discusses using data to improve treatment for postoperative delirium.

AI tools show potential but face significant safety concerns for mental health support.