Latest Articles for Healthcare Technology

A new approach improves the labeling of lung structures for better medical analysis.

Researchers use GANs to improve OCTA image quality for better eye condition diagnosis.

New methods for detecting retinal vessels improve disease analysis and treatment.

New methods improve few-shot learning without relying on source data.

A new model improves chest X-ray classification for lung diseases.

New tool improves detection of microdeletions in prenatal genetic testing.

A new robotic system aims to improve feeding for those with mobility challenges.

Research enhances brain tumor imaging through advanced edge detection methods.

New techniques improve segmentation accuracy in chest radiographs.

This study evaluates models for detecting anomalies in time series data.

New methods improve body tracking accuracy in various environments.

A new framework enhances privacy in AI-generated images while ensuring efficiency.

Discover how recent advancements in visual models enhance machine understanding of images.

A new approach to filtering complex systems using Gaussian PSD Models.

LeOCLR enhances contrastive learning using original images for better understanding.

A framework to evaluate how AI solutions affect health equity in healthcare.

This article discusses the essential aspects of constrained reinforcement learning and its real-world applications.

This study enhances distributed learning through effective use of weighted updates in Error Feedback.

A look at how blockchain improves healthcare data security and privacy.

Exploring recent insights on synthetic data and privacy challenges.

A new wireless system monitors health without the need for sensors.

A new model enhances health data analysis in the Internet of Medical Things.

A-DPS improves image reconstruction from noisy data across various applications.

Introducing novel techniques for interpreting complex-valued neural networks in various applications.

A new method enhances privacy in federated learning against gradient inversion attacks.

A new method enhances the alignment of 3D body models to 2D images.

A new method enhances computer model performance despite incomplete data.

Exploring why AI model explanations are essential for trust and reliability.

seg-metrics simplifies the evaluation of medical image segmentation performance.

CrossGLG improves action recognition using 3D skeleton data and text descriptions.

A look into graph signal processing and its impact on modern data analysis.

PSASA offers a faster approach to prototype selection in machine learning.

This article assesses Large Language Models in predicting medical codes.

Researchers explore LLMs to enhance EHR phenotyping for health conditions.

CIS-UNet improves aorta segmentation for better surgical planning.

Using hard samples in validation improves machine learning model generalization.

BriSe AI focuses on machine self-awareness for better interactions.

Exploring the benefits of inertial sensors for human motion analysis.

New models show promise in diagnosing multiple mental health disorders simultaneously.

Enhancing anomaly detection methods for dynamic image data using continual learning.