Latest Articles for Healthcare Technology

A new method enhances seizure detection accuracy using healthcare annotations.

M UNet improves early detection of polyps to combat colorectal cancer.

A novel method improves segmentation accuracy using semi-supervised domain adaptation.

LDMs enhance out-of-distribution detection in 3D medical imaging.

Graph Neural Networks transform how we analyze time series data for better predictions.

A new method improves alignment of CT and MRI scans in medical imaging.

A new method enhances reliability in deep learning models by addressing predictive uncertainty.

A new method for improving medical image segmentation through expert consensus.

A new framework enhances whole slide image analysis for cancer diagnosis.

A new system streamlines disease coding for better healthcare data management.

A method to enhance image quality using Vision Transformer architecture techniques.

A framework to enhance predictions by using abstention against misleading data.

A new framework to improve deep learning models for time series data.

This paper discusses predictive multiplicity and proposes ensemble algorithms for fairer predictions.

Study reveals insights on summarization and question answering in biomedical texts.

Small biases in AI can lead to major unfair outcomes.

A look at membership inference attacks and their implications for data privacy.

This article explores how perturbation analysis improves understanding of AI decisions with time series data.

Digital biomarkers are changing how we monitor and understand health.

A new metric improves model prediction accuracy and clarity.

New method reduces user input in model feedback for improved performance.

A new approach to improve Federated Learning efficiency and model performance.

Exploring few-shot learning techniques to enhance medical imaging diagnostics.

Investigating how voice technology can prevent duplicate patient participation in trials.

A method to clarify machine learning predictions using causal graphs.

Innovative methods improve heart disease detection using ECG data.

A look at how deep learning models work in understanding brain activity.

Introducing a method to enhance reliability in image retrieval for critical applications.

FreeCOS improves segmentation of complex shapes using self-supervised techniques and synthetic data.

Examining the strengths and weaknesses of split learning in data privacy.

Digital pathology enhances efficiency and collaboration in tissue sample examination.

Examining the impact of NLP models on biomedical research and healthcare.

A novel framework to strengthen reinforcement learning models in unpredictable environments.

Innovative techniques aim to improve privacy in AI data analysis.

A study assessing learning methods using limited labeled data in medical imaging.

A new method uses video images for better bronchoscopy positioning.

PeTRA aims to enhance patient mobility while ensuring safety during hospital transport.

Examining the role of deep learning in enhancing MRI accuracy and reliability.

New methods enhance prediction reliability in challenging scenarios for machine learning models.

Fetal MRI enhances the detection of developmental issues in unborn babies.