Latest Articles for Healthcare Technology

EfficientDeepMB improves speed and cost of optoacoustic imaging for better medical use.

A new system enhances medical inquiries by merging LLMs with knowledge graphs.

Exploring the impact of adversarial attacks on explainability in deep learning.

A new method enhances language models for reliable medical information.

RSCUSUM offers a solution to detect changes in data efficiently and accurately.

AdapTable improves model predictions amid changing table data without retraining.

A new system enhances the analysis of particle contamination in diagnostic testing.

LiPCoT transforms time series data for language model applications.

New model improves liver cirrhosis imaging and segmentation accuracy.

Introducing a tool for evaluating unsupervised anomaly detection methods in federated learning.

A fresh method for spotting unusual patterns in time series data over time.

A new framework enhances federated learning by addressing noisy data issues.

New methods improve detection of changes in medical imaging, enhancing diagnostic accuracy.

A new robot helps monitor elderly falls and improves safety response times.

A novel approach improves clarity in simultaneous multislice MRI scans.

Utilizing deep learning to improve early detection of oral squamous cell carcinoma.

A new model enhances prognosis prediction for patients with intracranial hemorrhage.

A model designed to improve medical image classification with limited data.

A new framework improves privacy and efficiency in federated learning.

Study assesses pre-trained AI models for MRI, CT, and X-ray interpretation.

Automating line monitoring enhances safety and efficiency in critical care settings.

ARCI improves medication recommendations through advanced data analysis techniques.

Introducing BMFT: a method to enhance fairness in machine learning without original training data.

Automatic guidance system improves fetal head ultrasound imaging.

IGNH provides clear predictions and feature attributions for heterogeneous tabular data.

A new approach to analyzing electronic health records enhances patient care and outcomes.

New methods expose vulnerabilities in medical models through backdoor attacks.

A new model to accurately process hierarchical data structures.

A new method enhances the accuracy of knowledge graph predictions.

This article explores predictive multiplicity in KGE models and proposes voting methods to reduce conflicts.

A new approach boosts understanding of model predictions through feature attribution.

Examining the role of foundation models in overcoming data scarcity in medical imaging.

NuSegDG offers improved accuracy for medical image analysis.

New method enhances breast cancer detection using FFDM and SM images.

Researchers propose a method to enhance medical models while ensuring data privacy.

A new method improves the safety verification of neural networks in critical systems.

Exploring how LLMs can impact patient care and healthcare data analysis.

Introducing a new approach to improve medical language model accuracy and reliability.

A fresh approach to imitation learning enhancing performance with limited data.

NoRA offers a smarter way to adapt large models with fewer resources.