Latest Articles for Healthcare Technology

Examining the impact of NLP models on biomedical research and healthcare.

A novel framework to strengthen reinforcement learning models in unpredictable environments.

Innovative techniques aim to improve privacy in AI data analysis.

A study assessing learning methods using limited labeled data in medical imaging.

A new method uses video images for better bronchoscopy positioning.

PeTRA aims to enhance patient mobility while ensuring safety during hospital transport.

Examining the role of deep learning in enhancing MRI accuracy and reliability.

New methods enhance prediction reliability in challenging scenarios for machine learning models.

Fetal MRI enhances the detection of developmental issues in unborn babies.

New insights improve predictive performance in statistical modeling.

New method shows promise for identifying unfamiliar medical images.

RCC-SGM improves image clarity in photoacoustic tomography without requiring paired datasets.

New methods improve on-device machine learning for better personalization and privacy.

A novel framework enhances model selection for detecting outliers without labeled data.

FedBug tackles client drift while enhancing federated learning efficiency and privacy.

A new approach improves deep learning model reliability by measuring uncertainty.

A new method improves evaluation of AI in medical imaging for better reliability.

A new method enhances image segmentation accuracy in healthcare.

Learn how XLDA efficiently processes large data sets and adapts to new classes.

Research shows promise in using synthetic images for effective polyp segmentation.

Cold Diffusion offers faster MRI processes while maintaining high image quality.

A method that improves machine learning for medical imaging with less data.

Examining the urgent need for accurate pulse oximetry in diverse patient populations.

Using digital twins to manage diabetes and prevent kidney disease.

A new method improves data augmentation for histopathological image classification.

A new method enhances white blood cell analysis in medical imaging.

MADS offers advanced solutions for handling missing data in time series.

A study shows AI's effectiveness in identifying COVID-19 symptoms better than traditional methods.

New modules enhance accuracy in aligning cardiac images for better diagnosis.

A new benchmark aims to improve cold-start strategies in medical image segmentation.

New method improves medical image segmentation using implicit patch embeddings.

A study on improving model explanations to prevent incorrect medical diagnoses.

A new tool uses social media to monitor medication-related incidents.

This article discusses importance sampling and its role in maintaining data privacy.

Research focuses on improving non-invasive methods for communication in patients with movement impairments.

Introducing Eye-Llama, a specialized model for enhancing eye health support.

Study reveals how materials affect terahertz emitter performance for various applications.

A new method improves detection of anomalies in medical imaging using unlabeled data.

CheXmask provides high-quality segmentation masks for chest X-rays, aiding diagnosis.

New methods improve how machine learning handles noisy data.