A study involving nearly 500,000 patients seen at a top London hospital over 10 years has shown that artificial intelligence (AI) can accurately identify chest X-rays that contain abnormal findings, ...

Researchers from the University of Warwick in England created an artificial intelligence system that helps physicians process abnormal chest X-rays. The researchers reviewed data from an estimated 500 ...

An artificial intelligence (AI) tool can accurately identify normal and abnormal chest X-rays in a clinical setting, according to a new study. An artificial intelligence (AI) tool can accurately ...

Qure.ai (http://www.qure.ai), an AI-driven healthcare startup, today released the results of its unprecedented clinical validation study confirming its qXR algorithms ...

An artificial intelligence (AI) tool can accurately identify normal and abnormal chest X-rays in a clinical setting, according to a study published in Radiology, a journal of the Radiological Society ...

AI-powered cognitive computing platform vendor behold.ai today announced that its artificial intelligence-based red dot algorithm quickly identifies chest X-rays from COVID-19 patients as abnormal.

‘Instant triage’ capability could potentially speed up diagnosis of COVID-19 individuals and ensure resources allocated properly. LONDON, UK; March 23, 2020 – behold.ai today announces that its ...

New research has found that a novel Artificial Intelligence (AI) system can dramatically reduce the time needed to ensure that abnormal chest X-rays with critical findings will receive an expert ...

This section describes the evidence gaps, why they need to be addressed and their relative importance for future committee decision making. The committee will not be able to make a positive ...

New research from WMG at the University of Warwick in the United Kingdom shows that artificial intelligence (AI) can reduce the time needed to process abnormal chest x-rays and prioritize which x-rays ...

OAK BROOK, Ill. – An artificial intelligence (AI) tool can accurately identify normal and abnormal chest X-rays in a clinical setting, according to a study published in Radiology, a journal of the ...