Latest Articles for Healthcare Technology

A new method improves skin lesion diagnosis accuracy and transparency for doctors.

AI training with artificial images boosts medical imaging accuracy.

A unified framework for improving machine learning model explainability.

A new approach improves how computers learn from experience.

New method enhances PET scan image quality for better diagnoses.

A look into secure communication methods, including quantum oblivious transfer.

Combining PET and CT imaging improves clarity and reduces radiation risks.

BeeManc team utilized advanced models to simplify complex medical texts at PLABA-2024.

Learn how to tackle label noise in machine learning for better accuracy.

Combining federated learning and GNNs for improved stroke assessment while ensuring patient privacy.

A new method blends efficiency and accuracy in Federated Learning.

A new dataset aids in better medical image analysis and uncertainty understanding.

ProP offers an effective way to catch backdoor attacks on machine learning models.

This article reviews strategies for improving deep learning in diverse medical image settings.

Researchers enhance soft robot control with innovative neuroevolution techniques.

A new approach to improve OOD detection in machine learning models.

Learn how BNNs help machines make informed decisions in uncertain situations.

New techniques assist in detecting vision issues in premature infants.

A guide to understanding AI model performance using the FEET framework.

Discover how TRACE improves health evaluations with advanced data integration.

Examining strategies to improve deep learning's reliability against adversarial threats.

LAMINAR offers fresh approaches to organizing and understanding complex data.

A new system aims to enhance AI transparency in critical fields like healthcare.

Using machine learning to assess baby movements for early developmental insights.

MCCE offers solutions for the challenges of absent data in model explanations.

A new method reveals real-time tissue movement using MRI technology.

Researchers develop a new method for analyzing cerebrovascular images using labeled and unlabeled data.

Combining clinical and omics data to improve cancer outcome predictions.

New methods boost predictions of future health issues using medical imaging.

This article examines zero-shot techniques for detecting anomalies in medical images.

Understanding AI's role in medicine through explainable AI (XAI) techniques.

Being nice helps AI serve humans more effectively.

New model shows promise in integrating diverse healthcare data for better diagnosis.

A plugin safeguards federated learning models from harmful updates without compromising patient privacy.

Segmentation is crucial for accurate brain imaging and diagnosis.

Depth cameras offer new methods for tracking breathing without physical contact.

New method improves skin lesion classification while protecting patient data.

A new method enhances CT images with limited angles for better diagnosis.

KV-Tandem combines speed and organization for efficient data access.

D-Cube uses smart technology for better cancer detection in medical images.