Partnership launches AI solution to enhance predictive heart valve visualization and personalize valve treatment planning decisions enabling the future of TAVR for structural heart patients DUBLIN, OH ...

Objective: This study aims to evaluate and compare the predictive performance of various nutritional assessment tools. Conclusion: MNA is the most effective standalone nutritional tool for predicting ...

During WEFTEC, Dave Rutowski explained how WIMS Process manager leverages industry-standard models to provide tailored dashboards and predictive insights that help wastewater facilities balance ...

Hospitals are increasingly using predictive artificial intelligence in healthcare delivery, but small, rural, independent and critical-access hospitals are lagging behind, according to data released ...

Wildfire season is no longer something that comes and goes; it's becoming a year-round concern. In BC, wildfires can shape the entire year, and we want to know what's coming, what's at risk and how to ...

Please provide your email address to receive an email when new articles are posted on . AirStrip’s predictive tool offers early warnings to predict and respond to patient hemodynamic instability. The ...

Abstract: Aiming at the problem that most thermal error prediction models for machine tools adopt a single neural network architecture, which is difficult to ...

Abstract: Thermal error is a major factor affecting CNC machine tools. Establishing an effective error prediction model is crucial for improving the machining ...