Latest Articles for Healthcare Technology

A new method enhances collaborative learning by optimizing client selection and personalized model training.

Innovative methods are improving SPECT imaging for better cancer treatment planning.

A new method enhances privacy while ensuring strong model performance in Federated Learning.

A novel framework enhances ultrasound imaging accuracy during labor monitoring.

A study highlights the need for reliability in MRI machine learning models.

This article reveals methods to interpret CLIP-like models in AI.

Exploring the potential of quantum neural networks in various fields.

Exploring Hybrid Homomorphic Encryption for secure data processing in ML.

A new method improves frequency estimation in pulse trains with noise and missing data.

Research explores new methods for designing prosthetic sockets focused on patient comfort.

Examining the risks and challenges of AI technology in medical applications.

A new workflow streamlines bioinformatics research for cancer analysis using multi-omics data.

A new method enhances depth estimation in endoscopic images for better surgical outcomes.

Learn about recent techniques improving ECG diagnostics through deep learning.

A new model uses synthetic data to improve heart ultrasound analysis and efficiency.

Researchers develop a dataset to improve speech recognition and analysis techniques.

Examining the privacy risks of AI and ML in medical settings.

Innovative synthetic data method improves medical imaging accuracy while protecting patient privacy.

Exploring advancements and challenges in medical digital twin technology for personalized treatment.

A new tool enhances efficiency in processing electronic health records for better patient care.

PSTNet enhances polyp detection using advanced imaging techniques.

Introducing SAL and LBN for reliable health monitoring.

Learn how transfer learning improves machine learning outcomes with limited data.

Exploring how AI handles missing information in multimodal learning.

A new technique offers improved blood pressure readings using PPG data.

A new method enhances medical image segmentation by reducing information loss.

Cell-free biosensors promise affordable solutions for environmental and health monitoring.

A new approach to network packet scheduling for time-sensitive applications.

A new method helps models adapt to unexpected real-world data.

A fresh approach to generating meaningful explanations for time-series data analysis.

A look into methods for improving color consistency across various images.

A study compares pre-trained CNNs and foundation models for medical image retrieval.

New imaging methods improve diagnosis of cardiac sarcoidosis using automated analysis.

A new approach improves survival analysis in cancer research using visual and language data.

A new method enhances AI's grasp of human actions through specialized data.

Federated Learning tackles data privacy challenges in sensitive fields.

A study revealing how deep learning models recognize emotions in speech.

Automating tumor segmentation in PET/CT images enhances accuracy and speeds up diagnosis.

A new method enhances data privacy in machine learning through personalized approaches.

CataractBot aids patients by providing reliable surgical information with expert verification.