Lawrence Tanenbaum is a big believer in AI, as a tool to create better images, offer a more comprehensive view of a patient and more effectively handle imaging’s increasing volume and complexity. Bigger yet, AI is the impetus to change the way radiology and medicine are practiced across the care spectrum.

The power of artificial intelligence (AI) is enabling clinical breakthroughs that identify biomarkers without invasive procedures, diagnose skin cancer with a photograph, predict adverse clinical events, and recommend treatments based on current literature. Getting these innovations to market requires access to large, complex data sets to train the AI models.

The implementation of an early warning score communication bundle significantly decreased intensive care unit (ICU) admissions, according to a study published in the May 2018 issue of the American Journal of Critical Care.

The potential of genetic testing for chronic disease is substantial—and these possible positives are understood by many primary care providers (PCPs). Still, many feel unprepared to deal with patients at high risk for such conditions, while others questioned their ability to interpret genetic testing results.

The potential of genetic testing for chronic disease is substantial—and these possible positives are understood by many primary care providers (PCPs). Still, many feel unprepared to deal with patients at high risk for such conditions, while others questioned their ability to interpret genetic testing results.

Fitbit has announced, in addition to its app tracking steps and sleep patterns, the integration of menstrual cycle tracking into their smartwatch technology.

Researchers at the University of Texas at Arlington have developed a flexible biodegradable hydrogel capable of printing human tissues. The team published its findings March 18 in ACS Applied Materials and Interfaces.

Clinical decision support systems (CDSSs) have shown potential in reducing medical errors and improving patient outcomes, but utilization remains low due to a lack of user acceptance, according to a study published April 18 in JMIR Medical Informatics.