COVENTRY, England, April 29, 2022 /CSRwire/ - An article published in WaterWorld magazine outlines how Rockwell Automation (NYSE: ROK) is among a group of global innovators exploring how the United Kingdom's second-largest water company, Severn Trent, can use artificial intelligence and other advanced technologies to improve the region's environmental well-being. The article notes, "The UK's water industry and its regulators agree that climate change, population growth, urban expansion, increasing water consumption, and changing customer behaviors mean that the industry needs solutions that are flexible and capable of adapting to what future demand will throw at them." As part of the endeavor, Rockwell teams specializing in network and cybersecurity, AI, and machine learning applications are providing guidance as well as counsel and support on other emerging technologies. Rockwell software and hardware will also be part of the solution. Rockwell's Mark Watson, account manager, water and wastewater solutions, says the project will demonstrate "how the adoption of AI and machine learning, in addition to access to both real time and historical data, can deliver an intelligent Connected Enterprise application that can be scalable and deployable within the UK water sector."

An artificial intelligence (AI) system can analyse chest X-rays and spot patients who should receive immediate care, researchers report. The system could also reduce backlogs in hospitals someday. Chest X-rays account for 40% of all diagnostic imaging worldwide, and there can be large backlogs, according to the researchers. "Currently, there are no systematic and automated ways to triage chest X-rays and bring those with critical and urgent findings to the top of the reporting pile," explained study co-author Giovanni Montana. He is formerly of King's College London and is now at the University of Warwick in Coventry, England.

WEDNESDAY, Jan. 23, 2019 (HealthDay News) -- An artificial intelligence (AI) system can analyze chest X-rays and spot patients who should receive immediate care, researchers report. The system could also reduce backlogs in hospitals someday. Chest X-rays account for 40 percent of all diagnostic imaging worldwide, and there can be large backlogs, according to the researchers. "Currently, there are no systematic and automated ways to triage chest X-rays and bring those with critical and urgent findings to the top of the reporting pile," explained study co-author Giovanni Montana. He is formerly of King's College London and is now at the University of Warwick in Coventry, England.