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Radiologist shortage 'affecting cancer care' in the UK

BBC News

A shortage of senior radiologists around the UK is causing delays for patients, and affecting cancer and other medical care. Radiologists' leaders say the situation is unacceptable and must be tackled by ministers. Figures suggest their workload of reading and interpreting scans has increased by 30% between 2012 and 2017. But the number of consultant radiologists in England has gone up by just 15% in that time. The number of these senior posts in Scotland, Wales and Northern Ireland has remained static over that period.

AI: A tool or a replacement for radiologists?


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A Faster Radiologist


One of Henry Ford's most famous quotes is, "If I would have asked people what they wanted, they would have said a faster horse." As the story goes, he went on to create the Ford Motor company with the vision of having an automobile owned by every family in America. He then was able to mass produce automobiles at an affordable price while simultaneously being able to pay workers more money and creating disposable income for a new class of people. Diagnostic medicine is at the same turning point. Radiologists (as all physicians) are measured on production metrics called an RVU or a relative value unit.

Stanford Algorithm Can Diagnose Pneumonia Better Than Radiologists

IEEE Spectrum Robotics

Stanford researchers have developed a machine-learning algorithm that can diagnose pneumonia from a chest x-ray better than a human radiologist can. And it learned how to do so in just about a month.

Google's DeepMind created an AI for spotting breast cancer that can outperform human radiologists


Google Health and DeepMind have created an AI tool capable of spotting breast cancer with as much accuracy as a human radiologist, according to a new paper published in Nature on Wednesday. To train the model the researchers used two data sets of breast scans from the UK and the US. The UK dataset included scans from 25,856 women, while the US set contained mammograms from 3,097 women. Applying the AI resulted in a reduction of false negatives of 9.4% for the US dataset and 2.7% for the UK. There was a slightly smaller reduction for false positives, 5.7% for the US dataset and 1.2% for the UK one.