Latest Articles for Healthcare

Calibration ensures predictions align with actual outcomes across various fields.

A new framework assesses AI models predicting cell reactions to changes.

Exploring the value of approximately equivariant models in machine learning.

Researchers improve technology for identifying wrist fractures in children's X-rays.

Study assesses benefits of prone positioning for COVID-19 patients in Vietnam.

Examining patient survival with polyhazard models enhances data accuracy and treatment decisions.

An open-source tool ensuring verified scientific information access.

Touchdose shows promise in improving safety and efficiency during medication prescribing.

Introducing a framework to help stakeholders agree on fairness in AI systems.

New tools allow intuitive data queries using natural language.

EndoFinder aids doctors in making informed polyp decisions during colonoscopy.

Techniques to improve graph inference and uncertainty estimation in various fields.

Examining barriers faced by families seeking pediatric cancer treatment in Tanzania.

A new method for measuring uncertainty in deep learning, especially in survival analysis.

A critique-based model improves accuracy in spotting inaccuracies in AI-generated text.

Exploring new techniques in experimental design and data analysis for scientific research.

A look into Alzheimer's disease, its effects, and ongoing research.

A new method improves the prediction of hospital stay lengths while protecting patient privacy.

A look at how POCUS impacts the diagnosis of small bowel obstruction.

AI improves early detection of colorectal polyps through advanced imaging techniques.

This study highlights the costs of epilepsy from the patient's perspective in Brazil.

Examining the impact of health insurance integration on consumption inequality in rural households.

New methods improve understanding of brain interactions in stroke patients.

HDRSplat improves 3D modeling accuracy in low-light conditions.

A new method enhances classification accuracy for critical disease severity categories.

New methods in antibody development enhance treatments for infections and diseases.

DeepClean automates the identification and correction of image distortions.

Exploring new methods for user localization in 6G networks using large antenna arrays.

A framework for improving AI sentiment analysis in healthcare conversations.

KEED improves ECG signal analysis by accurately identifying key heart waves.

New methods promise better reading comprehension in clinical settings.

New framework improves fairness in medical AI applications for skin lesion analysis.

Evaluating prediction models for successful external cephalic version in breech pregnancies.

The study analyzes how different responses affected COVID-19 death rates across six countries.

A new model aims to improve speech translation quality through integrated systems.

Exploring technology to streamline the medical coding process and improve accuracy.

A look into the challenges and collaborative efforts surrounding rare diseases in India.

Combining language models and knowledge graphs for accurate health information.

Using health data to identify children at risk for Autism Spectrum Disorder.

A look at how open-source models measure up against commercial counterparts in biomedical tasks.