Latest Articles for Healthcare

Examining how humans and algorithms can work together to improve decision-making.

Study shows recovery trends for international patients post-pandemic.

A new method enhances age estimation from facial images while minimizing identity influence.

A new model aims to reduce health disparities in electronic records.

Japan struggles with doctor shortages, impacting rural healthcare access.

A new method improves patient care by merging clinical and digital data.

Exploring the impact of automated machine learning in medical settings.

Video analysis can help track walking patterns in older adults with dementia.

Economic violence affects women's independence and security in intimate partner relationships.

New methods enhance data collection and understanding of complex systems using mobile sensors.

Using Federated Learning to improve PCOS treatment while ensuring patient privacy.

Introducing SimMST, a simpler framework for spatial-temporal data analysis.

This article discusses advanced techniques for detecting anomalies in multivariate time series.

A new approach improves the evaluation of predictive models for patient outcomes.

A new approach to algorithmic recourse that emphasizes risk awareness in decision-making.

User-Level Differential Privacy offers a better privacy approach in data sharing.

Study shows manual therapy improves pain processing in neck pain patients.

This article discusses a method for better decision-making in uncertain situations.

A new approach simplifies ovarian stimulation for IVF by reducing clinic visits.

Understanding micro-expressions and physiological signals enhances emotion recognition in various fields.

A new method enhances accuracy in matching medical terms.

Research shows how machine learning models can improve accuracy across varied patient groups.

Combining survival analysis with contrastive learning to improve patient outcome predictions.

Researchers develop a method to automate camera movements during laparoscopic surgeries using recorded videos.

ChatGPT shows promise in assisting radiologists with brain tumor diagnoses from MRI scans.

Using data to forecast COVID-19 hospitalizations can improve healthcare planning.

This study assesses an AI tool for testing cancer registry software.

A new model enhances object recognition in robot-assisted surgery.

Study finds high FIB-4 index linked to increased mortality in RVP patients.

Research highlights the improvements AI can bring to hearing aids in noisy settings.

A new model streamlines organ segmentation in CT and MRI scans.

A new method enhances accuracy in linking healthcare and social science data.

A framework to improve irregularly sampled time series analysis in various fields.

ACC-UNet improves medical image analysis through innovative model integration.

This method improves the classification of medical images using graph neural networks.

TSLiNGAM improves causal discovery in complex datasets with skewed distributions.

GEMTrans improves echocardiography accuracy and consistency in heart diagnostics.

New methods improve ECG classification accuracy through innovative data representation.

New method enhances healthcare model updates by focusing on rankings and user expectations.

New methods enhance robot movement efficiency in dynamic environments.