Latest Articles for Healthcare Technology

A toolkit for assessing performance of retrieval-augmented models in specific domains.

STimage-1K4M combines detailed images and gene data to enhance disease research.

Introducing a method for fast video classifications based on early frame analysis.

A novel approach helps systems recognize both known and new categories.

A look at how to handle errors in score-based generative models.

Discover how data-driven methods are changing measurements and modeling in metrology.

This study examines using General Video Transformers for improved remote physiological measurement.

LACPANet enhances kidney tumor analysis using multi-phase CT imaging.

Exploring the synergy between Foundation Models and Federated Learning for enhanced AI applications.

Exploring the impact of RPM on patient care and healthcare costs.

This article explores explanation methods in multivariate time series classification using machine learning algorithms.

AI models enhance ECG analysis for better heart health diagnostics.

A new model enhances synthetic EHR data for improved healthcare applications.

A new approach to improve medical dialogue systems aligns with clinician reasoning.

This article explores how differential privacy safeguards ECG data in healthcare.

A new network improves accuracy in cancer tumor segmentation from PET and CT images.

A new method reduces privacy risks in retrieval-augmented generation applications.

Improving Bayesian neural networks for reliable predictions in critical applications.

A study on how pose estimation models perform with corrupted images.

K-Tokeniser improves language models' processing of clinical texts.

Exploring privacy-preserving technologies in medical image analysis.

Robots can now follow natural language commands more effectively.

This article discusses the importance of measuring uncertainty in AI predictions.

This article discusses how AI models learn from mistakes through self-correction.

An analysis of language models and their role in healthcare.

LLMs are assisting doctors, improving patient care while reducing risks of misinformation.

CAT enhances model interpretability by grouping features into high-level concepts.

A new method enhances ultrasound image interpretation using machine learning.

A comprehensive model aims to enhance security and dependability in 5G-MEC environments.

A new algorithm combines offline RL and preference feedback for improved decision-making.

New method promises efficient data erasure while preserving model performance.

Introducing FC-EM to protect 3D point cloud data from unauthorized access.

EndoGPT aids in decision-making for thyroid nodules with notable accuracy.

FedMap improves Federated Learning efficiency while ensuring data privacy.

A new method improves AI decision-making clarity.

CanDrivR-CS improves understanding of genetic variants in cancer treatment.

An overview of neural networks, their structure, and applications across various fields.

A novel approach combines voice analysis with privacy protection for dementia detection.

LeDNet enhances chest X-ray analysis for better lung disease classification.

CD-T enhances understanding of transformer models, improving interpretation and trust.