Latest Articles for Health Technology

A new system improves mental health tracking through personal device data.

Innovative methods improve identification of cancer markers through DNA methylation analysis.

A look at user traits and behaviors to improve support systems.

Research highlights how COVID-19 affects men and women differently.

A study on improving treatment effect estimation using additional data in MRTs.

Deep learning improves color Doppler imaging for better heart flow analysis.

New methods create realistic digital models for safer medical device testing.

A novel approach for accurate landmark detection in heart images using graph structures.

New fPET method improves brain activity measurement without invasive blood sampling.

Patch-CNN simplifies brain imaging with fewer images for accurate results.

New models enhance evaluation of heart attack damage and improve patient care.

CortexMorph offers rapid and accurate measurements of cortical thickness for improved brain health assessments.

Bio-SIEVE enhances efficiency in medical systematic reviews using AI language models.

Exploring the impact of real-world data on health technology assessments.

A new method to differentiate health conditions using ECG time series data.

New method enhances group testing efficiency for pathogen detection.

Optimizing DECT settings enhances imaging for better medical diagnoses.

SPROUT enhances safety by detecting misclassifications in machine learning classifiers.

A new framework to connect health data with personal information management for better insights.

Introducing AutoSAM Adapter for improved 3D medical image analysis.

A look at combining split learning and encryption for better data privacy.

New model creates tissue images using expert report summaries.

A hybrid Vision Transformer improves EEG data analysis and eye movement prediction.

New methods enhance mammogram analysis for improved breast cancer classification.

This study assesses the performance of wearable devices in detecting AF alerts.

A new method predicts brain age at a voxel level for better insights.

Research uses EHRs to enhance health outcome predictions for patients with multiple conditions.

A low-cost ECG device can predict vascular aging and smoking habits effectively.

This study explores digital syndromic surveillance using PHC data for respiratory disease detection.

A novel method enhances cancer diagnosis by integrating weak causality signals in medical imaging.

New methods improve the accuracy of biological models using physiological knowledge.

Introducing GravityNet, a new model improving small lesion detection accuracy in medical images.

Advancements in ECG analysis enhance heart health understanding through AI and genetic studies.

Using new data sources to enhance epidemic monitoring and forecasting.

FINs enhance predictions in finance, speech processing, and health.

Study reveals links between missing lab data and patient outcomes during the pandemic.

Using self-supervised learning to enhance predictions of speech movements in dysarthria.

This study enhances activity recognition by using hard negative sampling techniques.

Radar technology enhances remote health checks while ensuring user privacy.

Explore the significance of T2 measurement in MRI for diagnosing health conditions.