Developing the Digital Lung: From First Lung CT to Clinical AI

The book "Developing the Digital Lung: From First Lung CT to Clinical AI" provides a comprehensive overview of the field of applied artificial intelligence in lung disease development, covering its origins, applications, and future prospects. It traces the development of precise quantitative CT of diffuse lung disease through the use of applied AI, leading to faster and more effective diagnosis. It also discusses the use of AI algorithms to produce measures of emphysema, air trapping, and airway wall thickening in subjects with COPD and pulmonary fibrosis. The eBook version includes comprehensive case studies and current information on cloud computing.

Format: Paperback / softback
Length: 160 pages
Publication date: 16 December 2022
Publisher: Elsevier - Health Sciences Division

Developing the Digital Lung, authored by Dr. John Newell, serves as a comprehensive and authoritative guide to all aspects of applied artificial intelligence in the field of lung disease development. This invaluable resource offers a unique perspective on the evolution of artificial intelligence, tracing its origins back to the mid-1970s and its subsequent application to clinical medicine in the early 2020s. The book is meticulously organized into four distinct stages, each designed to assist practitioners in effectively leveraging artificial intelligence in lung imaging.

Throughout its pages, the book explores the development of precise quantitative CT of diffuse lung disease, facilitated by the application of applied AI. This breakthrough technology has led to faster and more effective diagnosis of patients suffering from lung disease, enabling healthcare professionals to make informed decisions at the earliest stage.

In addition to its technical aspects, the book delves into the intricacies of CT manufacturers, models, and scanning protocols employed to generate the comprehensive 3D digital maps of the lungs. It sheds light on the data processing techniques employed by AI algorithms, which enable the generation of valuable measures such as emphysema, air trapping, airway wall thickening, pulmonary fibrosis, and traction bronchiectasis. These measures provide crucial insights into the condition of patients with various lung diseases, aiding in the development of personalized treatment plans.

One of the key distinguishing features of Developing the Digital Lung is its comprehensive coverage of reactive machine AI and limited memory AI methods. The book provides detailed explanations of these methods, their advantages, and their limitations, enabling practitioners to choose the most suitable approach for their specific needs. Additionally, the book includes comprehensive case studies and up-to-date information on cloud computing, further enhancing its practicality and relevance in the field.

To enhance accessibility and convenience, an eBook version of Developing the Digital Lung is included with the purchase. This digital version offers numerous benefits, including the ability to access all of the text, figures, and references with ease. Users can conduct comprehensive searches, customize their content, make notes and highlights, and even have the content read aloud to them.

In conclusion, Developing the Digital Lung is an indispensable resource for healthcare professionals, researchers, and students interested in the field of applied artificial intelligence in lung disease development. With its comprehensive coverage, practical insights, and user-friendly format, this book empowers practitioners to leverage the power of AI to improve patient outcomes and advance the field of lung medicine. Whether you are a seasoned expert or a newcomer to the field, Developing the Digital Lung is a must-have guide that will help you navigate the complexities of AI and its applications in lung imaging.

Weight: 274g
Dimension: 152 x 232 x 10 (mm)
ISBN-13: 9780323795012