Latest Articles for Healthcare Technology

Combining human insights with machine learning for better and safer predictions.

VaLLA enhances predictions by providing reliable uncertainty estimates in deep neural networks.

Combining segmentation models enhances early detection of heart attacks in echocardiograms.

A new method to clarify image classification making predictions more interpretable.

Examining the intersection of differential privacy and optimization challenges.

A new method improves brain imaging with speed and accuracy.

This study analyzes how different signals improve medical image segmentation accuracy.

New method optimizes model settings for better healthcare diagnosis.

Exploring the role of uncertainty in interactions between humans and robots.

Research advances in generating synthetic images while safeguarding personal data privacy.

New methods enhance accuracy in classifying white blood cells for leukemia diagnosis.

SLAC method offers effective attenuation compensation in SPECT heart imaging.

A model predicting MRI settings enhances reliability in medical imaging.

Exploring the role of synthetic data in improving EEG-based technologies.

A new tool helps fix systematic errors in machine learning models.

A new approach enhances consistency in answers from visual question answering systems.

A new tool makes genetic data easier to search and understand.

New method enhances accuracy in bronchioles segmentation for lung disease diagnostics.

A tool combines Eastern medicine and machine learning to forecast surgical outcomes.

A new deep learning approach improves alignment of medical images for better analysis.

Exploring methods to enhance machine learning efficiency in healthcare settings.

A new framework enhances classification and segmentation with reliability in medical imaging.

Explore how counterfactual explanations improve AI decision clarity and trust.

A novel method addresses challenges in medical image analysis using semi-supervised learning.

A new method enhances blood vessel images from MRA data for better diagnostics.

A new metric enhances ASR performance evaluation for medical transcription accuracy.

A new approach to deep learning using fixed weights for efficiency.

Key points on validating AI-based diagnostic devices.

A novel approach addresses privacy concerns in retinal imaging while retaining clinical details.

Combining Bayesian methods with neural networks improves adaptability and performance.

DiffMIC improves medical image analysis for enhanced patient care.

A new method improves segmentation performance in 3D medical imaging.

Exploring high dose rates in proton therapy for better cancer outcomes.

A new framework improves tumor analysis in whole slide images using self-supervised learning.

A new approach ensures safer policy evaluation in critical applications.

RepUX-Net offers an innovative method for segmenting medical images with improved accuracy.

Researchers are improving robotic manipulation of flexible objects for various applications.

A new method improves data privacy and model efficiency in medical imaging.

Neural networks enhance T2 mapping for better prostate cancer diagnosis.

This paper explores how Visual Prompting can enhance differential privacy in deep learning.