Osteoporotic fragility fractures often lead to hospitalization and impose a significant economic burden. To investigate the clinical characteristics of hospitalized major osteoporotic fractures in ...

Abstract: Deaf and Hard of Hearing (DHH) students encounter obstacles in higher education due to language and communication challenges. Although research aims to improve their academic performance, ...

QuadSci, the most predictive and prescriptive AI for customer intelligence, has been selected as the winner of the 2026 Machine Learning Company of the Year award in the 9th annual AI Breakthrough ...

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

For this reason, this study proposes an explainable machine learning framework to assess sustainable supply chain performance. Methods: The framework applies dual-model architecture. Random Forest ...

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2 King’s College Hospital NHS Trust, London, United Kingdom Introduction Pancreatic neuroendocrine tumours (PanNET) are rare. This study aims to build a risk stratification machine learning (ML) model ...

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

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 ...

Magdalena Ramada, global insurtech innovation leader at WTW, spoke with Digital Insurance about the value and potential of AI ...