SALT LAKE CITY, UTAH – Researchers at the University of Utah's Department of Psychiatry and Huntsman Mental Health Institute today published a paper introducing RiskPath, an open source software ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Artificial intelligence and machine learning are tools that have shown great promise in helping humans make deeper connections between disparate data. This is because AI and machine learning models ...

Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography ...

Abstract Deep learning models have been successful in many areas, but understanding their behavior remains a challenge. Most prior explainable AI ...

After training as a mathematician and physicist, Felix Wong, PhD, developed a keen interest in biology. He found the perfect fit in the lab of James J. Collins, PhD, at MIT, where he started using ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...

The authors identify artificial intelligence as a turning point for food safety research. High-throughput sequencing, ...