BACKGROUND: The integration of artificial intelligence (AI) into medical diagnostics has significantly impacted cardiology by enhancing diagnostic precision and therapeutic strategies. Coronary artery disease continues to be a leading cause of global... read more
Non-destructive testing (NDT), particularly X-ray inspection, is vital for
industrial quality assurance, yet existing deep-learning-based approaches often
lack interactivity, interpretability, and the capacity for critical
self-assessment, limiting... read more
Multimodal Large Language Models (MLLMs) show promise for image-based
regression tasks, but current approaches face key limitations. Recent methods
fine-tune MLLMs using preset output vocabularies and generic task-level prompts
(e.g., "How would yo... read more
Foundation models have emerged as a powerful approach for processing
electronic health records (EHRs), offering flexibility to handle diverse
medical data modalities. In this study, we present a comprehensive benchmark
that evaluates the performanc... read more
Small (Weinheim an der Bergstrasse, Germany)
Jul 20, 2025
Compared to traditional expert-driven pattern, the emerging concept of self-driving labs enabled by flow chemistry and artificial intelligence provides a new autonomous paradigm to significantly improve the R&D efficiency of functional material synth... read more
Condition and structural health monitoring (CM/SHM) is a pivotal component of
predictive maintenance (PdM) strategies across diverse industrial sectors,
including mechanical rotating machinery, airplane composite wings, offshore
wind turbines, and ... read more
This study proposes a new method for computing transpiration across an eddy
covariance footprint using field observations of plant sap flow,
phytomorphology sampling, uncrewed aerial system (UAS), deep learning-based
digital image processing, and e... read more
Manipulation surfaces indirectly control and reposition objects by actively
modifying their shape or properties rather than directly gripping objects.
These surfaces, equipped with dense actuator arrays, generate dynamic
deformations. However, a hi... read more
Fertility preferences significantly influence population dynamics and reproductive health outcomes, particularly in low-resource settings, such as Somalia, where high fertility rates and limited healthcare infrastructure pose significant challenges. ... read more
Contemporary supply chain networks in the context of the era of Industry 4.0 are becoming more erratic and complex, and have an influx of structured and unstructured data. Conventional practices of supply chain management (SCM) cannot overcome real-t... read more
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