Three radiological AI deployment case studies, a Mumbai based company created qXR when they noticed patients needed to wait long hours for a specialist to examine their x-rays. At the peak of the pandemic in the middle of April, qXR was retooled by Dr. Rizwan Malik

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A note on validating Radiological AI

A lack of generalizability is a major hurdle to clinical adoption of artificial intelligence (AI). A group of researchers in Korea found that as of 17 August 2018, only 6% of 516 studies on Radiology AI did an external or independent validation

3 minute read

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