Latest Articles for Patient Care

Researchers blend visual and sound features to improve speech for electrolarynx users.

AI software improves medical report processing for better patient care.

Exploring the genetic factors and implications of VHL disease in kidney cancer.

A new risk model aims to improve heart transplant patient prioritization.

PULSAR transforms doctor-patient conversations into efficient medical records.

Study explores early and late recurrence factors in gastric cancer patients post-surgery.

Study examines how testing delays affect HIV viral load results.

Research reveals ARHGAP9 as a promising marker for clear cell renal cell carcinoma.

Study highlights key electrical signals affecting heart rhythm in atrial fibrillation.

Examining atrial fibrillation treatment challenges in Syria's strained healthcare system.

Learn about cardiogenic shock, its causes, symptoms, and treatment options.

Exploring how multiple health conditions impact patient care and healthcare systems.

EHRSHOT offers a new dataset and model to boost healthcare ML research.

ACDNet improves medication recommendations using patient history and advanced techniques.

New models may enhance patient care for aorta narrowing.

A new method enhances seizure detection accuracy using healthcare annotations.

New methods combine subspace modeling and generative models to enhance MRI imaging.

Using AI to enhance medical imaging for improved disease diagnosis.

A new tool may help determine stroke onset time for better treatment.

Study finds Gensini score predicts complications post-ACS treatment using machine learning.

A new system improves mental health tracking through personal device data.

New approach enhances surgical phase recognition using self-knowledge distillation.

New service aims to enhance patient care in emergency departments.

Study reveals low medication use among patients with atrial fibrillation and heart failure.

A new model improves identification of heart failure patients in electronic health records.

Research on biosimilars and machine learning reveals new patient outcome patterns.

A new device enhances the quality of thyroid biopsy samples.

AI improves summarization of medical conversations, enhancing efficiency and accuracy.

A new tool simplifies the analysis of clinical trial data for better healthcare decisions.

Research suggests linaclotide enhances bicarbonate secretion in cystic fibrosis.

Innovative approaches aim to improve patient care through reliable treatment guidelines.

Research highlights biomarkers and immune cells in predicting sepsis outcomes.

New metrics enhance the evaluation of patient data graphs for better health predictions.

DenseMP uses limited data for accurate medical image segmentation.

This study reviews corticosteroid effectiveness for COPD exacerbations through various research data.

A new method improves predictions from clinical notes using language models.

Advancements in machine learning aim to improve kidney stone classification accuracy.

Explore how Shapley values clarify machine learning predictions in healthcare.

Research explores gut bacteria's role in immune-related adverse events during cancer treatment.

Combining diverse data types improves predictions for ICU patient survival rates.