Ebook: Developing the Digital Lung: From First Lung CT to Clinical AI
Author: John D. Newell
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.