Latest Articles for Patient Care

Study examines benefits of preoperative embolization for spine tumor surgeries.

This study examines the link between patient portal engagement and weight loss success post-bariatric surgery.

MOGDx integrates diverse omic data for better disease classification.

A new benchmark shows promise for AI in diagnosing rare diseases.

TEE4EHR improves analysis of patient data using deep learning techniques.

Exploring Gemini's impact and challenges in the medical field.

Wearable devices are reshaping patient care through real-time health data.

Study reveals language models struggle with cognitive biases in medical decision-making.

A new method for analyzing LAA shapes could improve stroke risk assessment in patients.

This work refines counterfactual inference for improved decision-making in healthcare.

Introducing a model to track neurodegenerative diseases without needing exact starting points.

Exploring ClinicLLM's impact on hospital readmission predictions and patient care.

Study compares invasive and non-invasive heart function assessment methods.

Study examines treatment interruption strategies for managing HIV without antiretroviral therapy.

Evaluating the effectiveness of LLMs in supporting medical decision-making.

Exploring techniques to improve image quality in low-dose medical imaging.

A new method identifies patient-specific factors affecting treatment outcomes.

Study uses machine learning to enhance adherence in allergic rhinitis treatment.

A new method helps visualize disease progression for better patient care.

Exploring the connection between celiac disease and thyroid health issues.

AI language models enhance diagnostic accuracy in ophthalmology through image and text integration.

Research aims to lower severe side effects in rectal cancer treatment with chlorophyllin.

Study examines how various factors influence HIV viral load in patients.

Research reveals key factors linked to rapid kidney function decline in ADPKD patients.

A look at genetic factors and health outcomes of DCM in young patients.

Study shows AI improves detection of dental problems in x-rays.

Researchers find key distance for better heart signal interpretation.

BioFusionNet combines tumor images, genetic data, and clinical insights for better risk assessment.

Study reveals gene differences in metastatic breast cancer cells.

Efforts to standardize healthcare data improve research and patient care.

PCKGs offer a clearer view of patient health for better care.

Innovative software uses algorithms to improve treatment response predictions in clinical trials.

A new approach enhances predictions of paraganglioma tumor growth for better patient care.

Innovative framework improves diabetes care by predicting blood sugar levels.

Study reveals how anesthetics affect brain patterns in patients.

Examining how clinical trial findings apply to broader patient care.

Learn about myelosuppression, its causes, symptoms, and management in breast cancer patients.

New methods improve material identification in medical imaging.

Research focuses on predicting disease markers from tissue images for better treatment.

Examining the role of digital technology in improving TB treatment outcomes.