PT  - JOURNAL ARTICLE
AU  - Currie, Geoffrey M
TI  - Intelligent Imaging: Anatomy of Machine Learning and Deep Learning
AID  - 10.2967/jnmt.119.232470
DP  - 2019 Aug 01
TA  - Journal of Nuclear Medicine Technology
PG  - jnmt.119.232470
4099  - http://tech.snmjournals.org/content/early/2019/08/09/jnmt.119.232470.short
4100  - http://tech.snmjournals.org/content/early/2019/08/09/jnmt.119.232470.full
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.