Latest Articles for Healthcare Technology

A robotic nurse designed to assist in operating rooms and improve surgical efficiency.

A new method improves MRI imaging by correcting motion during scans.

A new approach to train AI models while meeting safety standards.

New method raises security concerns in EEG systems while highlighting potential protective uses.

A fresh approach to enhance forecasting accuracy in irregular time series data.

A study uses AI to improve heart risk evaluations in patients with FH.

A new method enhances segmentation accuracy by integrating shape and intensity in medical images.

VIEWER streamlines patient data for mental health professionals.

A new library enhances SHAP interpretation for medical data analysis.

Combining MRI types enhances brain tumor segmentation and treatment outcomes.

New transformer models enhance evaluation in computer vision tasks.

Automated testing enhances security in healthcare systems, addressing evolving cyber threats.

Study investigates lossy compression effects on deep learning in medical image segmentation.

A look at how federated learning enhances patient care while maintaining privacy.

RPM services are increasing in U.S. hospitals, impacting heart failure readmissions.

DRL-STNet improves segmentation of medical images across different modalities.

Learn how computers adapt to new information while retaining past knowledge.

A new approach to effectively classify tensor data in various fields.

Current explainable AI methods fall short in clarity and reliability.

Study reveals high death rates among COVID-19 patients with low oxygen levels.

This article discusses methods to better understand neural networks through Sparse Autoencoders and Mutual Feature Regularization.

AI technology is changing how radiology reports are created, improving efficiency.

Federated Learning offers a new way to protect data while collaborating across devices.

New framework enhances machine learning with minimal examples.

RWKV combines strengths of Transformers and RNNs for efficient AI processing.

Study finds methods to reduce noise in medical images for better tumor tracking.

Innovative techniques in synthetic data generation improve echocardiography training.

Researchers propose new strategies for improving deep clustering performance.

TAL enhances deep learning model reliability through typicalness awareness.

Discover new methods to simplify complex data analysis using tensor decomposition.

A model enhances the identification of abnormalities in brain MRI scans.

Exploring parameter-efficient fine-tuning for depth estimation accuracy and uncertainty.

E-healthcare systems improve patient care through IoT and robotic integration.

A closer look at how abstention improves machine learning accuracy and reliability.

Zebra BioDome technology simplifies HPV testing for better cervical cancer prevention.

Using One-Shot GANs to improve detection of rare diseases in medical imaging.

Learn how to improve image-text models and reduce common errors.

A look at the challenges of missing data in EHRs and methods to improve them.

A better dataset enhances ECG analysis for heart health.

Using knowledge graphs to enhance medical question answering models.