Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and growing rapidly, fueled by availability of large datasets ( “big data”), substantial advances in computing power, and new deep-learning algorithms. Apart from developing new AI methods per se, there are many opportunities and challenges for the imaging community, including the development of a common nomenclature, better ways to share image data, and sta ndards for validating AI program use across different imaging platforms and patient populations.
Source: Journal of the American College of Radiology : JACR - Category: Radiology Authors: Tags: Original article Source Type: research