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Developing the Digital Lung - From First Lung CT to Clinical AI (Paperback)
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Developing the Digital Lung - From First Lung CT to Clinical AI (Paperback)
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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. 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.
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