Latest Articles for Healthcare Technology

Researchers reveal effective techniques for analyzing arguments in low-data languages.

Exploring how blockchain can enhance trust and efficiency in clinical trials.

A new method enhances the accuracy of prediction intervals for reliable decision-making.

New method improves model performance on unseen data.

Explore the advantages and applications of Low-Rank Adaptation in AI models.

Evaluating ChatGPT's effectiveness in providing drug information and its challenges.

This research enhances entity recognition in clinical narratives using open language models.

Language models aid doctors in classifying and utilizing medical evidence efficiently.

Swin SMT enhances medical image analysis for better accuracy in segmentation tasks.

AFIND+ improves decentralized federated learning by optimizing neighbor selection and update aggregation.

Combining chest X-ray images and EHR enhances diagnostic accuracy.

Generative AI improves RF sensing capabilities, transforming data collection and analysis.

New AI system shows promise in automating medical coding with high accuracy.

Examining vulnerabilities in clinical language models and their impact on patient safety.

A new method enhances medical image segmentation using semi-supervised learning.

Examining the costs and access challenges of Gamma Knife Surgery in healthcare.

Research explores generative AI to simulate internal mouth structures using facial movements.

New method improves how deep learning models segment 3D medical images.

This research discusses federated learning's role in protecting privacy during data analysis.

New methods for statistical testing while protecting data privacy through federated learning.

This study aims to enhance diagnosis accuracy using advanced models and knowledge graphs.

DiffRect enhances medical image segmentation by improving pseudo label quality and distribution understanding.

A new loss function enhances tumor segmentation accuracy in medical images.

A method fine-tuning language models to meet specific business tasks.

A look at federated learning combining differential privacy and blockchain for data security.

Enhancing detection with RGB and depth images to tackle real-world challenges.

This research focuses on systems for answering biomedical questions using large language models.

SACNet improves medical image segmentation through innovative architecture and loss function.

HistoGPT transforms how pathologists create reports from tissue images.

New methods improve breast cancer detection in mammograms, adapting to diverse data.

A new method enhances the detection of B-lines in lung ultrasound images.

A new method enhances detection of mislabeled images and text in datasets.

New method improves accuracy in aligning images over time.

New methods create CT scans from MRI images to ease patient stress.

A new method uses deep learning to enhance mammogram positioning evaluation.

A new method improves decision-making through historical data analysis.

A new model improves data privacy while enhancing machine learning accuracy.

PULPo improves medical image alignment and quantifies uncertainty effectively.

A new model improves detection of occlusal contacts in dentistry using machine learning.

A method to enhance model training using partially labeled medical images.