Latest Articles for Healthcare Technology

A study reveals significant racial bias in emotion recognition technologies.

MROVSeg improves image segmentation using multi-resolution strategies.

Exploring polynomial neural networks and their applications in various fields.

Innovative solution improves healthcare data management and privacy using advanced technologies.

A look at federated analysis and privacy technologies for sensitive data.

This study evaluates Neural Cellular Automata's role in medical image segmentation.

A fresh look at technology-related errors in CPOE systems to enhance patient safety.

A comprehensive evaluation framework for healthcare chatbots is introduced to enhance their effectiveness.

A new approach enhances cardiac MRI imaging, reducing noise and improving details.

New methods improve medical imaging accuracy through better image registration techniques.

This paper discusses continual learning of causal relations without losing previous knowledge.

Modifications to MOTION2NX improve efficiency and security in image inference tasks.

Examining how explanation styles impact user understanding and trust in AI tools.

Methods to improve confidence in AI predictions for medical images.

This study compares BERT and Bi-LSTM for classifying electronic health records.

A new PET scanner offers clearer images and reduced radiation exposure.

A new model improves depression detection in social media posts with clear explanations.

A new method for adapting deep learning models to unlabeled data while ensuring privacy.

This article examines how intrinsic dimension influences neural network performance across image types.

A new method enhances the detection of rare diseases using synthetic examples.

Exploring Secure Aggregation's role in Federated Learning within healthcare settings.

Introducing new quantum neural networks that adapt and learn from changing data.

TBConvL-Net improves accuracy and efficiency in medical image segmentation.

SMILE offers faster, clearer cardiac imaging for better heart disease diagnosis.

A fresh approach to improve model accuracy by identifying low-quality data sources.

Innovative methods enhance object detection performance on resource-limited devices.

Research highlights the impact of scanner variability on deep learning models in medical imaging.

New technique improves detection of camouflaged objects in various fields.

New method improves late-stage DCE-MRI imaging for better breast cancer diagnosis.

Kaizen improves computer image analysis for enhanced medical diagnostics.

LongLLaVA improves multi-image understanding for various applications.

LITE offers a resource-efficient model for Time Series Classification with high accuracy.

A novel approach to track heart rates using neuromorphic technology.

New methods tackle challenges of unbalanced labels in NER for healthcare.

New tools improve understanding of Functional Random Forest predictions in healthcare.

Improving decision-making efficiency in complex environments using a novel algorithm.

A method enhances segmentation accuracy for varied medical images using frequency adjustments.

New AI framework improves understanding of surgical videos for better patient care.

A new program improves heart image analysis, aiding in disease detection.

Introducing FedFT, a method to improve communication in Federated Learning.