Latest Articles for Healthcare

SPACE reveals complex interactions in biological tissues for deeper insights.

Study shows AI tools can improve accuracy in clinical decisions.

Study explores how to improve AI decision explanations for better patient understanding.

A new system for pain-free glucose monitoring aims to enhance diabetes management.

Group testing offers a streamlined approach to identify defects in various fields.

A new approach enhances medical image segmentation across diverse sources.

Research identifies distinct Alzheimer’s patient groups to improve treatment trials.

A new pipeline improves the detection of antimicrobial peptides as antibiotic resistance rises.

FLASH improves predictions using long-term patient data and significant health events.

Study explores new methods for predicting cancer return in head and neck cases.

Examining the link between causality and explainable AI for better decision-making.

A new method to compress images while preserving essential details.

Examining the trust issues in Somaliland's healthcare and potential solutions.

AI uncertainty quantification helps improve decision-making by informing users about prediction reliability.

CBRNet helps accurately assess treatment doses in healthcare and other fields.

A study compares AI risk assessments for chest pain with traditional scoring systems.

LesionMix improves data augmentation for better detection of lesions in medical images.

A fresh approach aims to enhance understanding of model predictions through counterfactuals.

Identifying risks and establishing requirements for safe AI use in healthcare.

This study evaluates NLP's role in summarizing radiology reports using advanced language models.

This study looks into the relationships between MRSA strains causing infections.

Horizon automates CNV classification, improving genetic analysis accuracy for better healthcare.

Harnessing expert guidance to enhance sensor calibration accuracy.

FSL helps enhance medical imaging analysis with limited labeled data.

Examining sotrovimab's role in treating high-risk COVID-19 patients amidst new variants.

Exploring the role of genetics in modern healthcare and addressing disparities.

Signature Activation enhances understanding of machine learning in medical imaging.

Study highlights machine learning's role in predicting antibiotic resistance patterns.

A look into the challenges and techniques of predicting infrequent events.

New methods enhance identification of atopic dermatitis patients for clinical trials.

A simpler method for diagnosing diabetic retinopathy shows promising results.

A study reveals alarming rates of catheter-associated infections in ICUs.

RHALE improves feature effect measurement in AI, addressing key limitations of existing methods.

TT-rules blend traditional models and deep learning for better healthcare insights.

A novel approach for spotting unusual data points in various fields.

TIMS2Rescore enhances protein identification accuracy in proteomics research.

Study examines vaccination rates among healthcare workers in Ghana and influencing factors.

This article discusses the evaluation metrics for effective healthcare chatbots.

Study reveals new ways to combat bacteria using silver niobate particles.

REACT model offers real-time alerts for acute kidney injury in cardiac surgery patients.