Latest Articles for Healthcare Technology

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.

Gaze data helps reduce labeling efforts in medical image analysis.

A new approach improves uncertainty estimation in AI medical responses.

This study examines the effectiveness of tailored language models in medical settings.

New model improves brain tumor detection and image generation using MRI scans.

A new model improves eye disease evaluations and patient referrals.

FastSAM-3DSlicer simplifies 3D segmentation in medical images for improved diagnosis.

Research on detecting human emotions through speech shows promise for various applications.

This paper focuses on improving the reliability of language model outputs.

Machine learning improves landmark detection accuracy and efficiency in medical imaging.

New neural networks using memristors enhance efficiency and adaptability.

Combining UMLS with GPT improves extraction of medical information from clinical texts.

Miniature creates clear thumbnails for multiplexed tissue images, aiding research.

A new method provides performance ranges for image segmentation in medical applications.

New models improve tissue image quality for better disease diagnosis.