Artificial intelligence system could cut critical chest x-rays assessment time


A team in Warwick have developed an artificial intelligence system which could cut the time it takes to assess critical chest x-rays from 11 days to less than three. Professor Giovanni Montana, chair in data science at Warwick Manufacturing Group (WMG) at The University of Warwick, led a team that developed the system which can recognise radiological abnormalities in chest x-rays. The system can asses how severe the abnormality is and, therefore, how quickly a patient needs treatment. They also developed a natural language processing algorithm which can read a radiologist report, understand their finding and automatically prioritise cases based on their severity. The AI system can be used from the moment a patient is admitted to hospital.

Duplicate Docs Excel Report

None found

Similar Docs  Excel Report  more

None found