A.I. detection system searches for victims of stroke in Springfield

Local hospitals are implementing bleeding-edge technology to provide better care for patients

>> WATCH: Inflation hits Dayton area businesses amid meat shortage

Mercy Health - Springfield announced the adoption of an A.I. detection system Tuesday to help diagnose cases of stroke. Viz.ai relies on a mobile interface to coordinate care between physicians and alert them of a suspected victim.

“Whether I’m elsewhere in the hospital or even off site, this technology allows me to read the scans on my phone right away,” Dr. Sushil Lakhani, Mercy Health - Springfield Stroke Medical Director said. “That speeds up detection and reduces the time needed to gather data for urgent decision-making such as which treatments are needed.”

A stroke can can kill over 2 million neurons per minute and remains a leading cause of death in the United States. Chase Collins, Mercy Health - Springfield Director of Neurosciences, believes that these new tools will make a big difference during application.

“This new technology will transform the way we’re able to deliver stroke care to our patients and our community,” Collins said. “We look forward to seeing improved outcomes.”

Mercy - Health Springfield maintains an up-to-date website of information that can be accessed at this link.