Latest Articles for Healthcare Technology

This study enhances medical image classification accuracy using synthetic data.

A method for visualizing data in federated learning while preserving privacy.

Using AI to improve early diagnosis of retinal diseases through enhanced imaging techniques.

This framework enhances the creation of codelists for better patient management.

Exploring stakeholder perceptions of fairness in machine learning models amid multiplicity.

Enhancing language models to communicate uncertainty can improve user trust and decision-making.

A fresh approach to evaluating ML models using Item Response Theory for better insights.

Advanced MRI methods improve brain imaging while reducing patient discomfort.

A new approach to enhance classifier performance in complex data.

AI helps create synthetic CTA images from TOF-MRA scans, improving diagnosis.

Innovative framework enhances real-time interaction between robots and humans.

New techniques aim to improve prostate cancer treatment through data-driven models.

Improving Q-learning performance amid corrupted feedback in real-world applications.

The SHULDRD device enhances testing in human-robot interactions safely.

New techniques improve early prediction of chronic health issues using patient data.

A new method enhances the handling of long, multi-dimensional time series data.

SLaVA-CXR improves chest X-ray report generation for better clinical efficiency.

Exploring the potential of voice analysis to detect early Parkinson's Disease symptoms.

Research improves bone metastasis identification with synthetic data generation.

ChronoGAN offers a new method for generating realistic time series data.

New methods improve the clarity of retinal fundus images for better diagnosis.

AI offers hope for early detection of a serious heart disease.

A look at improved methods for diagnosing prostate cancer.

A new method integrates simulation with real data for improved decision-making.

New methods enhance the accuracy of identifying blood vessels in medical images.

An automated model enhances the creation of multi-organ pathology reports.

OpenDosimeter provides real-time feedback on X-ray exposure for workers.

A novel model predicts cancer cell responses to treatments using gene expression.

New method improves the accuracy of medical image analysis.

A new tool evaluates large language models' performance across multiple data types.

Using AI to improve lesion detection in cancer imaging.

This study assesses various models for retrieving clinical information effectively.

Studying glottal area segmentation for better medical imaging analysis.

A new AI tool helps assess COVID-19 risk through patient conversations.

Research shows promise in disease detection using smaller language models and synthetic labels.

A look into Hierarchical Federated Learning and its advantages for device privacy.

A new model enhances tumor segmentation in PET/CT scans for cancer diagnosis.

Hypertrophic cardiomyopathy is a serious heart condition often undetected in young athletes.

SPECTRUM simplifies the creation of probabilistic logical models for better decision-making.

Assessing the quality of AI-generated notes for improved medical documentation.