Latest Articles for Healthcare Technology

A novel approach to protect image privacy in technology while maintaining model performance.

New technology enhances the accuracy of lung disease diagnosis through sound analysis.

A framework for improving model performance in changing conditions.

A new method improves image analysis in digital pathology.

A novel approach to enhance gradient-based saliency maps for better model interpretation.

RoboMP enhances robots' ability to understand and perform intricate tasks effectively.

Exploring the need for clarity in AI decision-making processes.

A new approach to medical image analysis using federated learning and weak supervision.

SaLIP combines SAM and CLIP for efficient medical image segmentation.

A new AI method improves cardiovascular diagnostics through advanced imaging techniques.

Exploring the relationship between anomaly detection, privacy, and explainability.

Advancements in CGM technology improve diabetes management and patient care.

A new model improves dialogue breakdown detection for AI systems.

A look at scalable classifiers and conformal prediction for reliable machine learning outcomes.

A study on the use of ARI in a gerontological day-care facility.

Examining exploration and adaptability in reinforcement learning algorithms.

A new framework improves reliability and uncertainty estimation in medical image segmentation.

A new method aims to improve fairness in machine learning without sacrificing performance.

A guide to metrics for assessing LLM performance in various fields.

MCPNet offers clearer insights into deep learning model decisions through multi-level concept extraction.

A new method enhances heart rate measurement using video analysis and 3D facial modeling.

FAM enhances Transformers' memory for better long-context processing.

New model improves accuracy in mediastinal tumor detection using semi-supervised learning.

A new approach to enhance e-health through improved data management and patient privacy.

Introducing FedFisher, an innovative algorithm for efficient federated learning.

A new architecture advances cancer detection in medical imaging using lower resolution inputs.

New designs aim to enhance blood flow in oxygenators, reducing clot risks.

A new method enhances the reliability of neural network predictions in regression tasks.

A new method fixes issues in machine learning models without losing accuracy.

Transfer learning uses knowledge from one area to improve tasks in another.

Study reveals data poisoning risks in healthcare language models.

A new tool for better understanding Parkinson's movements in daily life.

Introducing CAGE, a method that incorporates causality for clearer AI explanations.

MOAgent makes complex biological data analysis accessible for researchers.

A method to reduce bias in existing deep learning models using minimal examples.

A new method aims to reduce bias in machine learning for evolving data streams.

A new model enhances data fusion and analysis in healthcare.

CLAIME integrates structured and unstructured EHR data for better healthcare insights.

A new approach enhances segmentation in medical images without detailed labels.

G-VGPMIL enhances multiple instance learning for effective medical imaging analysis.