Avoiding missed opportunities in AI for radiology.
Journal:
International journal of computer assisted radiology and surgery
PMID:
39585545
Abstract
PURPOSE: In the last decade, the development of Deep Learning and its variants, based on the application of artificial neural networks, has reinvigorated Artificial Intelligence (AI). As a result, many new applications of AI in medicine, especially Radiology, have been introduced. This resurgence in AI, and its diverse clinical and nonclinical applications throughout healthcare, requires a thorough understanding to reap the potential benefits and avoid the potential pitfalls.