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Developing the Digital Lung, 1st Edition

著者 :
By John D. Newell, MD FACR
Reflecting recent major advances in the field of artificial intelligence, Developing the Digital Lung, From First Lung CT to Clinical AI, by Dr. John Newell, is your go-to reference for all aspects of applied artificial intelligence in lung disease d ...view more
Reflecting recent major advances in the field of artificial intelligence, Developing the Digital Lung, From First Lung CT to Clinical AI, by Dr. John Newell, is your go-to reference for all aspects of applied artificial intelligence in lung disease development, including application to clinical medicine. It provides a unique overview of the field, beginning with a review of the origins of artificial intelligence in the mid-1970s and progressing to its application to clinical medicine in the early 2020s. Organized based on the four stages of development, this practical, easy-to-use resource helps you effectively apply artificial intelligences to lung imaging. 
ISBNコード :
9780323795012
出版日 :
20-12-2022
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!洋書籍は不課税のため消費税不適用、電子書籍は消費税がご注文決済前に表示・適用されます!

!洋書籍は不課税のため消費税不適用、電子書籍は消費税がご注文決済前に表示・適用されます!

Reflecting recent major advances in the field of artificial intelligence, Developing the Digital Lung, From First Lung CT to Clinical AI, by Dr. John Newell, is your go-to reference for all aspects of applied artificial intelligence in lung disease development, including application to clinical medicine. It provides a unique overview of the field, beginning with a review of the origins of artificial intelligence in the mid-1970s and progressing to its application to clinical medicine in the early 2020s. Organized based on the four stages of development, this practical, easy-to-use resource helps you effectively apply artificial intelligences to lung imaging. 

特長
  • Traces the development of precise quantitative CT of diffuse lung disease through the use of applied AI, leading to faster effective diagnosis of patients with lung disease. 

  • Reviews CT manufacturers, models and scanning protocol used to produce the 3D digital maps of the lungs. 

  • Discusses how the data processed by AI algorithms can produce measures of emphysema, air trapping, and airway wall thickening in subjects with COPD and measures of pulmonary fibrosis and traction bronchiectasis in idiopathic pulmonary fibrosis (IPF). 

  • Demonstrates the differences between reactive machine AI and limited memory AI methods. 

  • Includes comprehensive case studies and current information on cloud computing. 

  • An eBook version is included with purchase. The eBook allows you to access all of the text, figures and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud. 


著者情報
By John D. Newell, MD FACR, University of Colorado, Health Sciences Center, Denver, CO, USA