Latest Articles for Patient Care

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.

Research develops models to predict outcomes for kidney transplants using extensive data.

BGDM improves image quality and efficiency in medical imaging techniques.

Experts establish clearer criteria for diagnosing and managing ORNJ.

Exploring influence-based explainability in AI for brain tumor imaging.

A new approach combines survival rates with health utility to improve treatment assessment.

Machine learning offers solutions for accurate seizure detection, improving patient outcomes.

Study links lung bacteria and antibiotic resistance to higher mortality in sepsis patients.

Assessing the role of LLMs in diagnosing common illnesses through symptom analysis.

Examining hypertension care quality in rural Burkina Faso reveals severe gaps.

Combining therapies shows promise for extending survival in glioblastoma patients.

Clozapine offers hope for those with treatment-resistant schizophrenia but remains underutilized.

New insights into RFA outcomes using mathematical models for heart treatment.

Examining the effectiveness of telehealth for speech and swallowing therapy.

Exploring effective treatment for psychotic symptoms in a KRS patient.

Examining the complex effects of adverse drug reactions on impulsivity.

This study examines LLMs for predicting heart disease risks in healthcare.

This study evaluates remimazolam tosilate versus propofol for hysteroscopy sedation.

Exploring the impact of Primary Ciliary Dyskinesia on fertility in men and women.