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Artificial intelligence, such as neural networks, deep learning and predictive analytics, has the potential to transform radiology, by enhancing the productivity of radiologists and helping them to make better diagnoses. This short report from Signify Research presents 5 reasons why artificial intelligence will increasingly be used in radiology in the coming years and concludes with a list of the barriers that will first need to be overcome before mainstream adoption will occur. The reasons presented are:
1. Global shortage of radiologists
2. Enhanced productivity
3. Better diagnostic accuracy
4. Lower rates of misdiagnosis
5. Improved patient outcomes