We examine the consequences of neonatal health using birth anthropometric measures and analyse their associations with ...

Moving past AI exploratory use cases to full-scale adoption relies on strategic alignment, operational readiness and baseline ...

In contemporary philosophy of psychiatry, one increasingly hears the claim that if mental disorders turn out to be dimensional, then the validity of our traditional diagnostic categories may no longer ...

From litigation to federal prisons to criminal investigations, artificial intelligence appears to have touched nearly every corner of the Department of Justice in the past year. Just two years ago, ...

In January, the Idaho Department of Health and Welfare plans to launch a predictive analytics model as part of its child welfare program. The goal is to improve case management, reduce unnecessary ...

Technological innovations can seem relentless. In computing, some have proclaimed that “a year in machine learning is a century in any other field.” But how do you know whether those advancements are ...

Drug discovery now costs 100 times more per FDA-approved drug than in 1950, despite vast advances in biology and computing. The core problem is the collapse of predictive validity in preclinical ...

Neuropsychological tests are essential tools for evaluating dementia and related neurocognitive disorders, with their clinical utility determined mainly by their validity. This paper critically ...

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...

Objective To study the reliability and validity of adverse childhood experiences (ACE) scores measured using a questionnaire versus abstraction of medical records, and to test whether the scores vary ...