Latest Articles for Healthcare Technology

A new benchmark for evaluating fairness in representation learning methods.

Understanding and mitigating hallucination in AI for reliable performance.

A novel approach improves merging of AI models for better performance and efficiency.

This study examines AI's potential in classifying ovarian cancer subtypes.

A novel method combines language models and knowledge graphs to improve robot safety.

A look at the CARES app for improving HIV treatment management.

uJSCC merges source and channel coding for better communication.

Introducing selective explanations to improve feature attribution in machine learning models.

New methods reduce memorization risks in medical imaging with diffusion models.

How digital twins improve patient treatment and drug development.

Discover how antifragility can strengthen machine learning systems against challenges.

New framework aims to boost ICD coding accuracy using electronic health records.

A new method for federated learning that addresses continual learning challenges.

Introducing an innovative method to detect anomalies in complex data patterns.

A new method improves evaluation of reinforcement learning models with deterministic policies.

This article examines challenges in ML research and suggests improvements for reliability.

A new method improves facial expression recognition by using language models.

FedMR tackles challenges in federated learning with partial class data, enhancing model performance.

This research focuses on improving brain tumor segmentation with a new model approach.

The CIEL Library enhances access to clinical trial data for cancer treatment.

Introducing S3, a method to enhance time-series data analysis through intelligent rearrangement.

A new model aids in analyzing COVID-19 medical imaging.

A new method called ADEPT improves offline reinforcement learning through adaptive models.

A new approach improves model performance with different data sources.

A new method for fine-tuning language models using self-attention.

New method enhances reliability of predictions by addressing uncertainty in machine learning.

A new AI tool improves the review process for chest X-ray reports.

Using vector embeddings to improve AI tools in low-resource healthcare settings.

A deep dive into how uncertainty affects neural network predictions.

MediQ redefines medical AI conversations for improved patient outcomes.

Robust reinforcement learning adapts strategies for reliable outcomes despite real-world challenges.

LinkLogic provides clarity and reliability for link prediction in knowledge graphs.

Understanding AI decision-making is crucial for trust and ethical use.

VERT improves ultrasound imaging in complex areas, enhancing clarity and accuracy.

A new framework improves action recognition in unseen movements through enhanced semantic understanding.

A practical method to improve fairness in algorithms without sacrificing accuracy.

A new framework enhances synthetic data creation while protecting personal information.

Examining how machine learning affects human choices and outcomes.

Introducing PrivacyRestore to protect user data while using large language models.

GNAN combines interpretability and accuracy for graph-based AI models.