A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

1. Background and Significance of Public Opinion Monitoring ...

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Engineered nanozymes and explainable machine learning enable sensitive bacterial detection across complex conditions. The system uses three distinct signals and delivers transparent, verifiable ...

Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google Dataset Search remain top choices ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

The most successful institutions won't see artificial intelligence as merely an efficiency tool but as a responsibility to ...

In an age where data drives decisions and automation defines excellence, the insurance industry stands at the cusp of a digital renaissance. At the ...