Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...
A noninvasive blood-based test identified cases of endometriosis that were missed by imaging, data at the Endocrine Society ...
Machine learning maps suggest that about 180 to 220 million people may rely on untreated groundwater with manganese above the ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
The house in the distance, with a red, hip-shaped roof and white walls, tells Radu Casapu that this place is probably ...
Overview: Explains how AI is transforming traditional microgrids into intelligent, self-optimizing energy systems.Compares ...
Hydronic technicians have always been relying on their ears. Today, AI has brought those ears superhuman abilities, enabling ...
Seeking to empower smallholder farmers, an Asia Pacific University of Technology & Innovation (APU) duo devised a solution ...
Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...
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