Intelligent Imaging: Anatomy of Machine Learning and Deep Learning.

Clicks: 312
ID: 4827
2019
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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.
Reference Key
currie2019intelligentjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Currie, Geoffrey M;
Journal journal of nuclear medicine technology
Year 2019
DOI
jnmt.119.232470
URL
Keywords Keywords not found

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