A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), the most common ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...

AI applications in mental health care are advancing quickly, although both research and clinical use remain in early stages. Before 2010, most digital ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Decision neuroscience explores the neural underpinnings of how individuals and groups make choices, integrating perspectives from cognitive neuroscience, ...

Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if ...

Even when artificial-intelligence tools aid individuals’ decision-making, they can quietly de-skill whole professions by ...

The Denver Post opinion pages. She writes editorials for the newspaper that represent the opinion of The Denver Post editorial board, of which she is one of six members. She also writes a personal ...