Latest Articles for Healthcare

MammoDG improves mammogram analysis for better breast cancer detection.

Floss improves representation learning in periodic time series data.

A study examines how AI can improve asthma patient care.

Study reveals low adherence rates among glaucoma patients in Ethiopia.

A new model, ADRNet, improves predictions of drug-related side effects.

Examining the potential and challenges of Federated Machine Learning in preserving privacy.

A study shows self-sampling kits can increase cervical cancer screening rates.

US2QNet improves ultrasound image quality assessment through an innovative unsupervised learning approach.

This article examines how biases affect healthcare decisions over time.

A new method improves multitask learning by measuring uncertainty effectively.

Learn how reactive probabilistic programming adapts to uncertainty in dynamic environments.

Enhancing understanding of AI predictions in diabetes diagnosis for better patient care.

New technologies improve communication for individuals with speech disorders.

A framework to enhance machine learning predictions with clarity and trust.

New study shows aggressive treatment for hypertension is safe for frail older adults.

Foundation models are enhancing efficiency in medical image segmentation.

AI is transforming how scientists analyze cellular images and videos.

A new method improves survival analysis while protecting patient privacy.

Fourier-Net simplifies and speeds up medical image registration for better healthcare outcomes.

Researchers use neural networks to better study brain connectivity and functioning.

Federated learning allows secure collaboration while keeping sensitive data private.

New method uses video for sensor placement in tracking human activities.

Research uses VAEs to find genetic markers linked to lung function.

A study explores using AI to monitor heart vibrations non-invasively.

Decision Knowledge Graphs enhance access to clinical guidelines for better patient treatment.

New AI model identifies heart disease risks in Chinese populations using real-world data.

Exploring AirComp's role in efficient wireless data processing.

New techniques in medical imaging improve diagnosis accuracy with deep learning.

A look at how isotonic conditional laws aid data predictions.

New tool aids surgeons in detecting cancerous tissue during procedures.

VesselVAE offers a new approach to creating realistic blood vessel models for medical use.

New methods improve the accuracy of risk predictions in healthcare.

Researchers assess AI-generated medical content for accuracy and trustworthiness.

Understanding the move to integrated, value-based healthcare systems.

A new approach combines supervised learning and reinforcement learning challenges for improved performance.

A novel approach tackling challenges in chest X-ray classification for improved diagnosis.

New techniques improve tracking and control of flexible robots in various applications.

How variability affects average estimates in line graphs.

Using machine learning to classify drugs effectively for better treatment outcomes.

Examining if race should influence healthcare algorithms for better patient care.