Latest Articles for Healthcare Technology

Exploring strategies to improve active learning using rich labels and uncertainty.

New system improves robot tracking of individuals in various environments.

MELAGE helps doctors and researchers analyze brain images for better diagnosis.

A new method enhances model performance in medical imaging through task collaboration.

A new framework enhances PET image reconstruction quality while minimizing radiation exposure.

Study shows mobile app enhances TB patient engagement and treatment success.

A new method improves MRI image consistency across hospitals for better diagnosis.

A novel approach enhances the quality of noisy biomedical labels.

Examining the impact of electronic medical records on patient care in Nigeria.

Exploring AI's role in analyzing mental health on social media.

A new method for accurate signal reconstruction from streamed data with zero delay.

Study reveals optimal network design for ECG analysis using CNNs.

New methods improve MRI scans without constant retraining.

Explore Gibbs sampling and data augmentation in statistical modeling.

DISGAN enhances MRI images by combining super-resolution and noise reduction.

A novel method enhances blood vessel imaging from T2 MRI scans.

Causal theories can enhance model reliability and safety in machine learning.

A new method enhances clarity in PET scans for better cancer diagnosis.

A new method improves segmentation performance using minimal labeled data.

A look into the importance of model verification for safety in AI systems.

TeleFMG allows natural hand movements to control robotic hands remotely.

New techniques enhance PET image clarity and accuracy using generative models.

Researchers develop smarter MRI data sampling for better images and patient comfort.

Examining user trust in ChatGPT for health-related decisions.

EFFL aims for equal model accuracy and fairness among clients in federated learning.

Examining how robust machine learning models impact explanation effectiveness.

A new model improves predictions for incomplete time series data.

PyTomography simplifies and speeds up medical image reconstruction for healthcare professionals.

DiffChest improves chest X-ray analysis with clear explanations and confounder identification.

Exposing vulnerabilities of language models in healthcare and the danger of false information.

New approach enhances deep learning models for reliable medical image segmentation.

A look at new systems improving insulin delivery and blood sugar monitoring.

Exploring the role of language models in transforming healthcare practices.

Truncated Transfer Learning improves efficiency in medical image classification tasks.

EMPAIA aims to integrate AI tools into pathology, addressing key challenges.

New methods clarify how image classification decisions are made.

New method improves MRI segmentation by adapting models without extensive labeling.

Explore how Diffusion Models improve super-resolution in various fields.

This paper examines techniques to reduce hallucination in language models for better accuracy.

Discover the benefits of Bayesian Neural Networks in making informed predictions.