Latest Articles for Healthcare Technology

Deep learning enhances accuracy in detecting colorectal cancer polyps.

A new method boosts image classification accuracy through error correction and adaptation.

A new framework enhances anomaly detection in graph data using active learning techniques.

Research reveals advances in predicting outcomes for brain metastases patients.

A study on balancing privacy and efficiency in medical image processing.

Understanding image classifiers is vital for trust and reliability in various fields.

New method improves understanding of AI decision-making processes.

A new method enhances calibration in deep neural networks for medical imaging.

A new method improves the accuracy of recovering human meshes from images.

Hybrid Homomorphic Encryption offers solutions for privacy in data analysis.

Self-BioRAG enhances medical question answering with improved accuracy and relevance.

New method estimates 3D human poses using uncalibrated depth cameras.

A novel approach to understanding mental health through social media summaries.

BooleanOCT enhances classification tree accuracy while maintaining clarity in predictions.

AI transforms how we diagnose and treat diseases in pathology.

New methods enhance the evaluation of AI model explanations.

A study on using machine learning to identify children's sounds for ASD assessment.

Examining security threats in machine learning-enabled medical devices and their impact on patient safety.

Deep learning aids in accurately measuring non-cancerous brain tumors.

A method to improve facial expression recognition by focusing on facial movements.

A look at how MP-SL aids devices in machine learning while ensuring privacy.

Examining patient experiences with online triage platforms during and after the pandemic.

Combining LLMs and formal verification to improve programming accuracy and efficiency.

CRANE robot improves needle insertion accuracy and safety in medical procedures.

Improving machine learning reliability through advanced OOD detection methods.

Examining how Thompson Sampling improves choices amid uncertainty and noise.

MACCHIatO improves consensus segmentation for medical imaging by addressing variability among raters.

New adaptive filtering enhances CT images while reducing x-ray exposure risks.

A computer vision method that detects objects efficiently without human input.

A new model balances clarity and performance in neural networks.

A new system enhances performance and reduces delays in medical AI applications.

Explore how offline reinforcement learning improves decision-making through analysis of past experiences.

A new method improves model accuracy by addressing noisy labels in federated learning.

New methods enhance the clarity of machine learning predictions.

This study examines a method to enhance disease detection using multimodal data.

A study explores new methods for deep learning models to adapt to changing data.

Examining generative models for synthetic gene expression data while ensuring patient privacy.

A method to improve dense retriever selection using LLMs without requiring labels.

RC-GNN enhances GNN interpretability and predictive accuracy through innovative methods.

Using chatbots to address patient information needs during cataract surgeries.