Format

Send to

Choose Destination
J Nucl Med Technol. 2019 Aug 10. pii: jnmt.119.232470. doi: 10.2967/jnmt.119.232470. [Epub ahead of print]

Intelligent Imaging: Anatomy of Machine Learning and Deep Learning.

Author information

1
Charles Sturt University, Australia.

Abstract

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.

KEYWORDS:

Other; Statistical Analysis; artificial intelligence; artificial neural network; deep learning; machine learning; nuclear medicine

PMID:
31401617
DOI:
10.2967/jnmt.119.232470

Supplemental Content

Loading ...
Support Center