Seven machine learning models were developed and evaluated in terms of discrimination, calibration, and clinical utility. The SHAP (Shapley Additive Explanations) method was used to interpret the ...

A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Artificial intelligence (AI) has become a foundational technology in the development of autonomous vehicles (Garikapati Shetiya, 2024), enabling these systems to perceive their environment, make ...

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

SHAP analysis revealed balanced contributions from ADC, DSC, T1CE, and FLAIR modalities. Conclusions: A calibrated and explainable multiparametric MRI radiomics model showed robust internal ...

A weekly newsletter that helps demystify artificial intelligence. Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a world-renowned, independent media company ...

This agreement represents NetraMark's ninth commercial contract since the start of its current fiscal year and demonstrates growing interest in ...

The IRS has fundamentally changed how it enforces tax compliance. As of June 2025, the agency operates 126 active AI use cases, up from just 10 in August 2022, spanning audit sele ...