Latest Articles for Medical Technology

A new training method enhances neural networks' ability to assess uncertainty.

Learn how random sketching improves our approach to inverse problems in data analysis.

Learn how few-shot learning is transforming biomedical data analysis in healthcare.

Understanding how light moves through anisotropic materials is crucial for various applications.

Research uncovers how cavitation bubbles react to pressure changes in liquids.

A new model enhances image retrieval for breast histopathology diagnosis.

A method to improve AI performance while ensuring clear decision-making.

New methods improve tracking skin features for health assessment applications.

This article discusses techniques for extracting particle beams in accelerators.

A new method improving medical data privacy and collaboration between institutions.

This article discusses the fusion of foundation models and federated learning in healthcare.

This study examines bias in Continual Learning models for medical imaging.

A new method for evaluating AI's effectiveness in healthcare settings.

A new method reconstructs 3D shapes from images without known angles.

Orion improves early lung cancer detection through advanced non-coding RNA analysis.

Using Tucker decomposition to improve medical imaging efficiency and accessibility.

This study addresses the complexities of using deep learning for EEG data analysis.

A new method enhances ADHD detection using selective EEG channels.

A new cooling method improves outcomes in atrial fibrillation ablation procedures.

Exploring new methods for retrieving 3D medical images effectively.

ToNNO improves the speed and accuracy of 3D medical image labeling.

New techniques improve peptide detection accuracy and control false discoveries.

A new approach to enhance pose estimation of surgical instruments in X-ray images.

Introducing a new framework for better analysis of medical images and questions.

New model predicts spoken language using brain signals.

A detailed look into current medical imaging software practices and areas for improvement.

PatWay-Net combines machine learning with clear predictions for patient outcomes.

Improved diffraction tomography techniques using customized waves enhance medical imaging accuracy.

MethylBERT improves DNA methylation analysis for better cancer diagnosis and treatment.

Differential walk on spheres offers efficient solutions for complex shape analysis.

A fast and effective method to segment retinal layers using OCT images.

Research improves ECG interpretation while ensuring patient data privacy.

Mamba-Ahnet improves medical image segmentation for accurate lesion detection.

A novel approach enhances identification of mutational signatures in cancer studies.

Exploring how Federated Learning can enhance data privacy in healthcare.

A new tool to streamline genetic testing and improve diagnostic accuracy.

This article discusses a novel framework for identifying drug side effects over time.

Exploring the potential of quantum sensors for precision measurements.

This study investigates the genetic traits of different breast cancer subtypes.

CSA-Net improves segmentation accuracy for medical images, enhancing diagnostic capabilities.