Latest Articles for Healthcare Technology

A new model addresses privacy concerns in smart healthcare networks using blockchain and trust-based approaches.

A study shows deep learning tools can improve chest x-ray evaluations.

Assessing large language models' performance in answering biomedical questions through BioASQ.

A look into improving VFL speed while ensuring data privacy.

A new approach to improving model performance in imbalanced datasets.

Combining federated learning and blockchain enhances data privacy in collaborative models.

New methods enhance training for better object recognition in images.

A new approach improves nuclei classification in medical imaging using self-supervised learning.

Learn about a new algorithm improving decision-making safety and efficiency.

Examining systems that enhance treatment for sepsis in adults using data.

New methods improve answering questions using multiple images for better insights.

This study assesses language models in medical named entity recognition accuracy.

LDMRes-Net offers a lightweight method for accurate retinal image segmentation.

Research shows optimized windowing improves accuracy in chest X-ray diagnoses.

This study evaluates few-shot learning methods in medical image classification.

Combining federated learning with differential privacy enhances medical image classification while ensuring patient data safety.

A new model enhances brain image segmentation efficiency and accuracy.

A framework improving federated learning by managing diverse tasks across devices.

MIST allows users to stream medical images at various resolutions efficiently.

How foundation models are transforming medical image analysis and diagnostics.

Research develops encrypted control for safer PAM applications.

A new model enhances efficiency and accuracy in medical image classification.

A new approach combines broad and fine labels for medical image analysis.

VesselMorph improves blood vessel segmentation in diverse retinal images.

A new method enhances model accuracy for medical imaging using 3D shape references.

CLIMAX offers clearer insights into machine learning model choices and contrasts alternatives.

New method tests AI model explanations against human-understandable concepts.

AI chatbots are transforming medical imaging by enhancing efficiency and communication.

A new VQA model enhances accuracy in answering localized medical image questions.

New methods aim to enhance lung scan accuracy and support better diagnosis.

PULSAR transforms doctor-patient conversations into efficient medical records.

Exploring new methods to predict virus interactions and enhance treatment approaches.

Discover how few-shot learning improves OCT image clarity by reducing speckle noise.

Researchers enhance drug-target binding predictions with multimodal knowledge graphs.

A new method improves learning from uneven datasets in offline reinforcement learning.

New dataset aims to improve detection of opioid misuse behaviors.

A new method to visualize feature effects in dynamic machine learning models.

Antimicrobial resistance threatens global health with rising infection-related deaths.

A look into the importance of interpretability in deep neural networks.

An overview of deep learning, its importance, challenges, and future prospects.