Latest Articles for Healthcare

FairDomain aims to enhance fairness in AI for medical imaging across different technologies.

Study on the influence of receptive field size in U-Net models for image segmentation.

AI assists in improving chest X-ray report efficiency amid NHS challenges.

Research highlights the importance of biomarkers in detecting Alzheimer's disease early.

Exploring the risks and implications of replication in visual diffusion model technology.

A method highlights the importance of hospitalization patterns in assessing death risk.

This article explores the challenges of achieving fairness in machine learning across different demographic groups.

A study reveals high rates of CRAS among heart failure patients in Tanzania.

A new framework improves AI medical image classification by addressing biases and forgetting outdated information.

A new FRNT test methodology effectively tracks RSV immunity levels.

Research highlights the link between HPV infection and cervical cancer risk.

New models enhance video tutorials for cooking and medical procedures.

A new method detects anatomical landmarks using minimal labeled data.

New approaches in patient symptom reporting may improve diagnosis accuracy.

A new model improves the generation of synthetic tabular data for various applications.

Examining preterm birth's effects on fathers' mental well-being during the perinatal period.

Learn how MMDPs improve decision-making in uncertain environments.

A clear approach to understanding the effects of sequential actions across various fields.

Understanding how context influences decision-making through contextual continuum bandits.

Backdoors in ML models pose serious threats to finance and healthcare.

Study examines the safety and effectiveness of MT for medium vessel occlusions.

A method to improve deep learning deployment on limited-resource devices.

A new method enhances classification despite noisy labels and imbalanced datasets.

Upcoming study to evaluate health impacts of valproate withdrawal on epilepsy patients.

A new approach to identify infections using blood samples and machine learning.

Assessing AI's capabilities in medical language understanding for ear, nose, and throat care.

CAMP model transforms pathology image classification for better diagnostics.

A new method addresses data challenges in AI for healthcare.

New methods improve ultrasound video analysis for uterine fibroid identification.

Harnessing quantum mechanics for precise and secure remote measurements.

A new classifier improves explainability and accuracy in AI image recognition.

AI is improving treatment choices in clinical settings using RCT data.

A look at transfer learning and self-supervised learning in healthcare.

A fresh approach to assess Human-AI Collaboration across various fields.

A new method predicts blood test results based on lifestyle and health data.

Data-driven techniques must protect privacy while identifying the best options.

A new method tests deep learning models' reliability in medical imaging.

Tumor microenvironments hinder drug effectiveness by limiting oxygen supply.

How wearable technology and LLMs are changing health monitoring and data interpretation.

Using deep learning to improve detection of eye conditions linked to diabetes.