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, ...

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 ...

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 study published in Radiology, a journal of the Radiological Society ...

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 ...

‘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 ...

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Did you know Neural is taking the stage this fall? Together with an amazing line-up of experts, we will explore the future of AI during TNW Conference 2021. Secure your ticket now! Deep learning can ...

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 ...

Four examples (out of a total of nine) of X-rays classified as “abnormal, unremarkable” by the reference standard (provided independently by two board-certified thoracic radiologists, with a third ...