In an effort to deal with a shortage of radiologists affecting hospitals, several European companies have trained AI to detect signs of breast cancer. Kheiron Medical recently announced that it will use AI algorithms to try to diagnose breast cancer with a trial on historic scans launching this month at a NHS trust in Leeds. The company's technology will also be tested against tens of thousands of historic scans in the East Midlands. Google's own AI company, DeepMind has also recently begun a trial with the NHS and the Dutch company ScreenPoint Medical has developed similar technology. All of these companies are testing their algorithms on tens of thousands of mammograms to determine if they can train them to identify signs of breast cancer with the same competency as a human radiologists.
A new study suggests that an artificial intelligence system may be able to perform tasks as accurately as a highly trained radiologist. The paper published in the Journal of the National Cancer Institute outlines how an AI system can accurately detect evaluate digital mammography in breast cancer screenings. Breast cancer screenings are an important tool in the early detection of breast cancer and the reduction of breast cancer-related mortality. Screenings currently are very labor intensive due to the high volume of women needing scans. In some parts of the world, including the U.S. there is a scarcity in the number of highly trained breast screening radiologists which has led to the development of AI systems that can do some of the tasks related to evaluating mammograms.
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India faces a drastic shortage of radiologists with just one radiologist available for 100,000 people living in the country. In comparison, this ratio is one to 10,000 in the US. With such a shortage of qualified professionals in the field, radiologists tend to see hundreds of X-rays in a day making the process error-prone. DeepTek, a Pune-based health-tech firm, has created an AI-based platform, Augmento, that assists radiologists to make faster and accurate diagnoses through X-rays for 20 different pathologies. To understand how the platform works and the advantage it provides in terms of making accurate diagnoses using AI in radiology, Analytics India Magazine caught up with Viraj Kulkarni, Principal Data Scientist at DeepTek.
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.