AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Risk

Showing 101 to 110 of 144 articles

Clear Filters

Identification of an exposure risk to heavy metals from pharmaceutical-grade rubber stoppers.

Journal of food and drug analysis
Exposure to low concentrations of heavy metals and metalloids represents a well-documented risk to animal and human health. However, current standards (European Pharmacopeia [EP], United States Pharmacopoeia [USP], International Organization for Stan...

Using administrative data to identify U.S. Army soldiers at high-risk of perpetrating minor violent crimes.

Journal of psychiatric research
Growing concerns exist about violent crimes perpetrated by U.S. military personnel. Although interventions exist to reduce violent crimes in high-risk populations, optimal implementation requires evidence-based targeting. The goal of the current stud...

Ready for a Risk Stratification Robot?

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine

Predicting and communicating flood risk of transport infrastructure based on watershed characteristics.

Journal of environmental management
This research aims to identify and communicate water-related vulnerabilities in transport infrastructure, specifically flood risk of road/rail-stream intersections, based on watershed characteristics. This was done using flooding in Värmland and Väst...

Optimizing annotation resources for natural language de-identification via a game theoretic framework.

Journal of biomedical informatics
OBJECTIVE: Electronic medical records (EMRs) are increasingly repurposed for activities beyond clinical care, such as to support translational research and public policy analysis. To mitigate privacy risks, healthcare organizations (HCOs) aim to remo...

Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Clinical studies model the average treatment effect (ATE), but apply this population-level effect to future individuals. Due to recent developments of machine learning algorithms with useful statistical guarantees, we argue instead for modeling the i...