Artificial Intelligence (AI) has made remarkable strides, but its decision-making processes often remain a mystery. In her exploration of Explainable AI (XAI) for large-scale predictive systems, ...

Artificial Intelligence is helping UC Davis Health predict which patients may need immediate care and eventually keep them ...

One example of a tool launched as a result, is the department’s lesson-planning assistant which went live last September and ...

Many don’t realize that AI is everywhere– from streaming recommendations to virtual assistants. Artificial intelligence has ...

Explore how machine learning is transforming immunology—from epitope prediction to smarter vaccine design—plus key challenges ...

Leah Jackson is the forward-thinking, innovative group director of commerce strategy at GroupM. In her role, Jackson pioneered a world-first integrated planning model that unified above-the-line and ...

Huang and colleagues examined neural responses in mouse anterior cingulate cortex (ACC) during a discrimination-avoidance task. The authors present useful findings that ACC neurons encode primarily ...

Center for Biomedical Informatics and Genomics, Tulane University, New Orleans, Louisiana 70112, United States Department of Chemistry and Biochemistry, Rowan University, Glassboro, New Jersey 08028, ...

Predictive analytics is a category ... data and analytics techniques such as statistical modeling, data mining, and machine learning (ML). Many organizations are beginning to leverage predictive ...

Background: Macular edema (ME) is an ophthalmic disease that poses a serious threat to human vision. Anti-vascular endothelial growth factor (anti-VEGF) therapy has become the first-line treatment for ...

Model performance was benchmarked against logistic regression (LR) using the AUC. Key predictors included rectum length, race, age, and hydrogel spacer use. The CNN model demonstrated stability in the ...