Latest Articles for Healthcare Technology

A new method enhances medical image segmentation using available text records.

Research assesses stability of XAI methods using diabetes dataset.

Explore the evolution and benefits of YOLO in object detection.

Examining membership inference attacks on time-series forecasting models in healthcare.

An overview of methods to safeguard personal information while maintaining data usefulness.

Discover how data pre-processing enhances predictions of critical health outcomes.

BlackVIP enables efficient use of AI models without accessing their internals.

A method for estimating community memberships while protecting individual privacy.

A new convolutional layer design reduces parameters and improves interpretability in AI models.

This research examines how visual issues impact Visual Question Answering models.

New methods improve 3D models from freehand ultrasound images.

This study highlights the importance of uncertainty in AI segmentation for multiple sclerosis.

CaseGPT improves case retrieval and insights for professionals in healthcare and law.

MiniGPT-Med helps radiologists improve diagnosis accuracy and efficiency.

A new method improves image alignment using deep learning techniques for better clinical outcomes.

Strategies to combat malaria drug resistance and improve tracking systems in Africa.

Introducing ADAPT, a system that tackles missing data in medical monitoring.

Examining the link between sleep quality and daily behavior in individuals with ASD.

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.