Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...
Interesting Engineering on MSN
EVs get smarter: Physical AI helps autonomous cars detect loss of control in real time
The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
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