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InHealth is set to deploy Qure.ais artificial intelligence solution to help with the classification of chest xrays into normal and abnormal exams, enhancing the quality and accuracy of reporting to improve patient outcomes.
The AI solution will be deployed across InHealths entire telereporting service arm.
In addition, it will allow InHealth to prioritise more clinically urgent cases.
Jonny McDaniell, director of operations reporting at InHealth, said We are excited to be partnering with Qure.ai to deploy qXR AI software into our teleradiology platform to assist physicians in highlighting lifethreatening abnormalities and improve reporting time for critical cases.
The qXR software is capable of detecting multiple lung abnormalities in under one minute from a chest xray.
It will be used to identify which cases are clear of clinically relevant findings, supporting radiologists to read xrays more accurately and quickly.
The solution will be used by InHealth to support clients in tackling a backlog of chest xrays while also improving efficiency and quality of reads.