In the long run, say researchers, genetic inhibitors currently being developed could combine with AI-imaging techniques to overhaul how some brain cancers are assessed and treated.

After initially launching an AI-driven baby monitor, RIoT Solutions created a “plug-and-play" respiratory monitoring system to assist doctors fighting the global pandemic.

In response to a call from the pandemic front lines, one fleet management company dropped their work and, within days, adapted their AI-based routing system to help find hospital beds for the homeless.

If we want enough human providers to provide the critical human care we need, says one stakeholder, we must call on AI to help provide as many basic services as possible.

The collaborative will focus on helping social robots understand both individuals and group situations and take appropriate decisions such as identifying patients that have been waiting alone for a long time or who might be anxious.

Given the tool’s high rate of accuracy, hospitals should be able to use it to identify patients with previously undetected fractures and, ideally, help them avoid subsequent fractures.

Researchers said the study was limited by the relatively small dataset and the limited clinical severity of disease in the population studied, but moving forward a broader range of data will help improve the tool’s predictive power.

In a disease outbreak, early mapping data could help healthcare organizations and government agencies identify areas where there's a concentration of people with fevers.

As the healthcare industry ramps up efforts to understand and combat COVID-19, AI is slated to be an increasingly important tool in research and solution development efforts.