Intelligent Imaging: Anatomy of Machine Learning and Deep Learning.

The emergence of artificial intelligence (AI) in nuclear medicine and radiology has been accompanied by AI commentators and experts predicting that AI would make radiologists, in particular, extinct. More realistic perspectives suggest significant changes will occur in medical practice. There is no...

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Publicado en:Journal of Nuclear Medicine Technology Vol. 47; no. 4; pp. 273 - 282
Autor principal: Currie, Geoff
Formato: review Journal Article
Publicado: Society of Nuclear Medicine 12/1/2019
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Intelligent Imaging: Anatomy of Machine Learning and Deep Learning.
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        au: Currie, Geoff
        affil: School of Dentistry and Health Sciences, Charles Sturt University, Wagga Wagga, Australia.
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          Diagnostic Imaging
          Nuclear Medicine
          Image Processing, Computer Assisted
      ab: The emergence of artificial intelligence (AI) in nuclear medicine and radiology has been accompanied by AI commentators and experts predicting 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; rather, it is 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.
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