We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...

AI’s future will be defined not by parameter counts, but by the integrity of the data that sustains it. Failures in ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

AI-Powered Loan Matching Delivers Instant Approval and Transparent Terms for America's Underserved BorrowersGlendale, CA, Nov. 10, 2025 (GLOBE NEWSWIRE) -- RadCred, a budding AI-powered loan matching ...