Developing the Digital Lung: From First Lung CT to Clinical AI (PDF)
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Format : Publisher PDF
File Size : 6.2 MB
This book, written by John D. Newell MD FACR, covers the application of artificial intelligence in lung disease development and clinical medicine. It traces the development of precise quantitative CT of diffuse lung disease through the use of AI, reviews CT manufacturers and scanning protocols, discusses how AI algorithms can produce measures of lung disease, demonstrates the differences between reactive machine AI and limited memory AI methods, and includes case studies and information on cloud computing. The eBook version is included with purchase.
Developing the Digital Lung: From First Lung CT to Clinical AI (PDF Book)
By John D. Newell MD FACR
Developing the Digital Lung, authored by Dr. John Newell, is crucial to the application of AI to the development and clinical management of diseases of the lungs. This expansive book contains the most recent information on AI and its practical application in the diagnosis of lung disease and the treatment of clinical disorders. With a comprehensive investigation of the field’s history and its current utilization in clinical medicine, this resource is intended as a reference for researchers, radiographers, and clinicians who want to utilize AI in the field of lung disease.
Key Benefits:
Historical Consideration: Traces the progression of exact quantitative computed tomography (CT) of diffuse disease of the lungs and the transformation of this technology through the utilization of AI. This increase in progress has led to more rapid and more accurate diagnoses for patients with lung disease.
CT Imaging: A description of the various manufacturers of CT scanners, models, and protocols used to create 3D digital maps of the lungs. Understanding these technical aspects is pivotal in the implementation of AI in the lung.
AI Algorithms: Investigates the way data processed by AI algorithms can provide metrics of emphysema, air trapping, and the thickness of the airway walls in chronic obstructive pulmonary disease (COPD), as well as the pulmonary fibrosis and traction of bronchiectasis in idiopathic pulmonary fibrosis (IPF).
AI Methods: Differentiates between machine-based AI and limited-memory AI methods, elucidating their respective applications and limitations.
Case Studies: These studies provide a detailed picture of the practical application of AI in the diagnosis and treatment of lung disease.
Cloudcomputing: Discusses the current state of use of cloud computing in the AI field.
This book contains an eBook version that can be purchased, this version provides convenient access to the entire text, figures, and references. The eBook has the ability to search, personalize, take notes, and highlight content, as well as have text-to-speech functionality that enables the consumption of audiobooks.
Developing the Digital Lung: From the First Lung CT to Clinical AI is a remarkable resource for those interested in utilizing AI in the field of lung disease. The expertise and insight of Dr. John Newell help to provide a comprehensive understanding of the development and utilization of AI in the diagnosis and treatment of lung disease.
Product Details
- Publisher : Elsevier; 1st edition (January 3, 2023)
- Language : English
- eBook Digital : 160 pages
- ISBN-10 : 0323795013
- ISBN-13 : 978-0323795012
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