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Impact of artificial intelligence in radiology / edited by Adam E.M. Eltorai, Ian Pan and Haiwei Henry Guo.

Contributor(s): Material type: TextPublisher: Boca Raton : CRC Press, 2025Edition: First editionDescription: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781003095279
  • 1003095275
  • 9781040121108
  • 1040121101
  • 9781040121030
  • 1040121039
Subject(s):
LOC classification:
  • RC78.7.D35
Summary: "Implementation of artificial intelligence AI in Radiology is an important topic of discussion. Advances in AI which encompass machine learning, artificial neural networks, and deep learning are increasingly being applied to diagnostic imaging. While some posit radiologists are irreplaceable, certain AI proponents have proposed to stop training radiologists now. By compiling perspectives from experts from various backgrounds, this book explores the current state of AI efforts in Radiology along with the clinical, financial, technological, and societal perspectives on the role and expected impact of AI in Radiology"-- Provided by publisher.
Item type: List(s) this item appears in: Titluri cărți electronice Taylor&Francis 2025 (1039 titluri)
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"Implementation of artificial intelligence AI in Radiology is an important topic of discussion. Advances in AI which encompass machine learning, artificial neural networks, and deep learning are increasingly being applied to diagnostic imaging. While some posit radiologists are irreplaceable, certain AI proponents have proposed to stop training radiologists now. By compiling perspectives from experts from various backgrounds, this book explores the current state of AI efforts in Radiology along with the clinical, financial, technological, and societal perspectives on the role and expected impact of AI in Radiology"-- Provided by publisher.

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