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.

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 ...

For the study, Qure.ai's deep learning chest x-ray algorithms were trained on 1.2 million x-rays and their corresponding radiology reports to identify abnormal x-rays and other abnormalities such ...

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 ...

LONDON, UK; March 23, 2020 – behold.ai today announces that its artificial intelligence-based red dot® algorithm quickly identifies chest X-rays from COVID-19 patients as ‘abnormal’.

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 ...

Deep learning can detect abnormal chest x-rays with accuracy, according to a new paper by a team of AI researchers at Google published.

The deep learning system can help radiologists prioritize chest x-rays, and it can serve as a first response tool in emergency settings.

This artificial intelligence can make diagnosis abnormalities faster and determine which x-rays need to be prioritized.

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 ...