RT Journal Article
SR Electronic
T1 Intelligent Imaging: Anatomy of Machine Learning and Deep Learning
JF Journal of Nuclear Medicine Technology
JO J. Nucl. Med. Technol.
FD Society of Nuclear Medicine
SP jnmt.119.232470
DO 10.2967/jnmt.119.232470
A1 Currie, Geoffrey M
YR 2019
UL http://tech.snmjournals.org/content/early/2019/08/09/jnmt.119.232470.abstract
AB The emergence of artificial intelligence (AI) in nuclear medicine and radiology has been accompanied by AI commentators and experts predicted that AI would make radiologists in particular extinct. More realistic perspectives suggest significant changes will occur in medical practice. There is no escaping the disruptive technology associated with AI, neural networks and deep learning; the most significant perhaps since the early days of Roentgen, Becquerel and Curie. AI is an omen, but it need not be foreshadowing a negative event but rather heralding great opportunity. The key to sustainability lies not in resisting AI but in having a deep understanding and exploiting the capabilities of AI in nuclear medicine while mastering those capabilities unique to the human resources.