Latest Articles for Healthcare Technology

This study assesses the effectiveness of XAI methods in medical imaging.

New framework enhances liver fibrosis diagnosis through multi-view image analysis.

A look into safe learning with multiple agents in constrained environments.

Addressing the challenges of transparency in AI decision-making processes.

A new model enhances rib fracture detection using varied data annotations.

Evaluating how environmental changes affect image recognition model performance.

QNNRepair improves the accuracy of neural networks after quantization.

A model that learns continuously while providing clear explanations for its decisions.

A new method speeds up MRI scans while maintaining image quality.

A new method boosts accuracy in medical image processing.

A new G-CNN improves 3D medical image analysis and accuracy.

ReCoV helps identify and remove noisy labels to boost model performance.

HeaRT creates clear timelines from complex health records, aiding doctors in patient care.

New methods enhance accuracy in medical imaging using deep learning and tissue-mimicking phantoms.

A new method improves federated learning performance amid data privacy concerns.

New methods enhance accuracy in analyzing chest radiographs using CT data.

ProtoDiff enhances prototype learning for effective classification from limited data.

New methods enhance accuracy in aligning medical point clouds over time.

A new method improves medical image classification while protecting patient data.

Exploring the importance of explainable AI for trustworthy decision-making.

LegoNet improves image segmentation for medical scans using innovative building block techniques.

ViG-UNet combines graph neural networks and U-Net for improved medical image analysis.

A new method focuses on data structure to enhance AI training outcomes.

New methods improve visual devices for those with vision loss.

New deep mesh deformation method enhances abdominal organ segmentation accuracy.

A study on the reliability of removal-based methods in machine learning.

Research presents innovative ways to identify chronic pain using brain activity data.

Efficiently process sensitive time series data in the cloud securely.

A new model addresses privacy concerns in smart healthcare networks using blockchain and trust-based approaches.

A study shows deep learning tools can improve chest x-ray evaluations.

Assessing large language models' performance in answering biomedical questions through BioASQ.

A look into improving VFL speed while ensuring data privacy.

A new approach to improving model performance in imbalanced datasets.

Combining federated learning and blockchain enhances data privacy in collaborative models.

New methods enhance training for better object recognition in images.

A new approach improves nuclei classification in medical imaging using self-supervised learning.

Learn about a new algorithm improving decision-making safety and efficiency.

Examining systems that enhance treatment for sepsis in adults using data.

New methods improve answering questions using multiple images for better insights.

This study assesses language models in medical named entity recognition accuracy.