Latest Articles for Healthcare Technology

Using chatbots to address patient information needs during cataract surgeries.

Examining the challenges of self-explanations in large language models.

SliQ enhances similarity detection using quantum computing for better efficiency.

TimEHR generates realistic synthetic time series data from electronic health records to aid research.

Exploring Gemini's impact and challenges in the medical field.

hFedF improves federated learning performance by tackling domain generalization challenges.

This work improves segmentation of retinal fundus images through noise reduction methods.

A new method enhances machine understanding of diverse data types.

A new method enhances LLMs by integrating external knowledge for better performance.

New method improves classification of urinary tract dilation in infants.

Developing machines that respond based on emotions for improved human-computer interaction.

A new approach helps AI measure uncertainty and improve decision-making accuracy.

New dataset improves the diagnosis of diabetic retinopathy through detailed annotations.

New methods enhance machine learning models for 3D data.

A new method enables quick learning from single demonstrations in unstable settings.

A new approach helps machines learn and interpret visual concepts effectively.

Research shows AI can improve stroke lesion detection in CT imaging.

Exploring ClinicLLM's impact on hospital readmission predictions and patient care.

New method enhances model adaptation for medical images using a single image.

Exploring techniques to improve image quality in low-dose medical imaging.

A method to improve data classification using regularization techniques.

Combining Federated Learning with privacy techniques protects sensitive data while training models.

AI language models enhance diagnostic accuracy in ophthalmology through image and text integration.

A method combining LLMs and Neural Additive Models to aid diagnostic accuracy.

New methods aim to improve model clarity in machine learning applications.

BioMistral aims to advance language processing in healthcare with open-source technology.

A novel approach using language models to test medical rule engines improves accuracy.

Study shows AI improves detection of dental problems in x-rays.

A new method improves confidence estimates in ambiguous data.

LinkNER combines NER models and LLMs for better named entity recognition.

This article discusses methods to certify explanations in machine learning models.

A new method for intrusion detection in Wireless Sensor Networks using machine learning.

SegmentAnyBone enhances bone imaging accuracy in MRI scans for improved diagnosis.

Study explores using noisy labels for accurate OIRD outcome identification.

Learn about spurious correlations and their impact on machine learning systems.

A look at the Continual Self-Organizing Map and its learning capabilities.

A look at using multiple sensors to improve prediction reliability.

A look into improving learning techniques for time-dependent data.

A look into reconstruction attacks and their impact on data privacy in machine learning.

A new framework aims to improve AI's empathetic responses in conversations.