Breast cancer is the most-common invasive cancer among women. It affects 14% of women worldwide and every year, over half a million women die of it. That makes breast cancer one of the largest medical problems faced today. Taking treatment decisions and curing this disease requires, at first place, diagnosing it. However, due to time constraints and the existence of very small metastases on individual slides, human pathologists sometimes fail to detect cancerous cells: they miss about 20% of breast cancers in mammograms, even in countries where screening mammograms are reviewed by two radiologists.
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.
Dating back to the Industrial Revolution, people have speculated that machines would render human ... [ ] work obsolete. Unlike in earlier eras, artificial intelligence will prove this prophecy true. "When looms weave by themselves, man's slavery will end." Stanford is hosting an event next month named "Intelligence Augmentation: AI Empowering People to Solve Global Challenges." This title is telling and typical.
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.