NHS Greater Glasgow and Clyde pioneers the use of head CT AI solution from Qure.ai to enhance patient care
Healthcare professionals at the Queen Elizabeth University Hospital in Glasgow are leading the way by implementing innovative AI technology to expedite decision-making for patients with head injuries. The ACcEPT project, funded by the NHS AI Lab programme, is utilizing qER from Qure.ai to analyze critical head injury scans and prioritize urgent cases.
Professor David Lowe, from the University of Glasgow and NHS Greater Glasgow and Clyde, emphasized the importance of incorporating AI to improve patient outcomes and streamline workflow in the emergency department. Early results from the implementation of qER have already detected numerous critical head injuries, allowing for prompt treatment and discharge decisions.
Darren Stephens, senior vice president at Qure.ai, highlighted the potential benefits of AI in emergency departments, such as reducing reporting times and alerting clinicians to critical findings. The collaborative effort between Qure.ai, NHS Greater Glasgow and Clyde, and other partners aims to pave the way for widespread adoption of AI technology in healthcare settings.
With the integration of Qure.ai into deepcOS, the future looks promising for leveraging AI to meet the increasing demands faced by radiologists and clinical teams.
