Latest Articles for Healthcare

BDoG improves AI reasoning by integrating various data types effectively.

A new framework for training models without sharing sensitive data.

Research connects neural networks with mathematical models, improving their design and effectiveness.

A new method improves anomaly detection by managing uncertainty effectively.

A new method reduces data needs for accurate logistic regression predictions.

mmDiff improves human pose estimation accuracy using innovative radar technology.

Discover the role of IoT in enhancing operations across defense and public safety.

Learn how advanced technologies improve reliability in robotic arms.

Study compares rule-based and language model systems for extracting social support data.

A look at how neural networks can model complex functions in various fields.

Introducing IDM for efficient image reconstruction from limited data.

Explore a system that improves policy effectiveness in various fields.

Combining mechanistic and machine learning models for better glucose predictions.

Discover the latest methods in retinal image registration to improve diagnosis.

Fluoroquinolone use declines amid rising safety concerns.

Introducing VOROS, a method for improving classifier performance assessment in imbalanced scenarios.

A new method enhances language models' understanding of medical terms.

An overview of methods in egocentric human pose estimation and their applications.

A new method improves CATE estimation and enhances decision-making in various fields.

An overview of POMDPs and their role in decision-making with incomplete information.

Forest-ORE simplifies understanding predictions from Random Forest models.

This study explores how language models can aid in cancer classification.

Enhancing medical image classification with limited data using innovative learning methods.

Research examines machine learning to enhance fetal health checks during labor.

Lion’s Mane mushrooms hold promise for new medicinal discoveries.

Study highlights machine learning effectiveness in predicting hospital readmissions fairly.

Synthetic data offers promise for improving research on adolescent cancer patients.

Dynamic scheduling improves tumor targeting during robotic radiation therapy.

Learn how prescriptive networks improve treatment decisions in personalized healthcare.

Reviewing effective antiviral options for treating COVID-19 and ongoing trials.

HBP levels may predict bacterial infections in severe trauma cases.

Study examines medication and health conditions impacting diabetes management.

A study reveals factors influencing COVID-19 mortality in Tanzania's healthcare system.

Analyzing label bias and its impact on research outcomes using Bayesian models.

Exploring shared appointments to improve heart failure patient outcomes and support.

New guidelines improve accuracy in assessing genetic variants and their impact on health.

A study on the explainability of machine learning models for pancreatic cancer care.

AI can enhance the efficiency of mental health referrals in the UK.

Quality dementia care is crucial as patient numbers rise.

High depression rates among healthcare workers reveal a pressing mental health crisis.