Unlocking the Power of Artificial Intelligence in Lung Disease Diagnosis

Written by Dr. John D. Newell, “Developing the Digital Lung: From First Lung CT to Clinical AI” is a groundbreaking reference that explores the applications of artificial intelligence in lung disease development and clinical medicine.

A Comprehensive Overview of AI in Lung Imaging

This practical resource provides a unique overview of the field, tracing the development of artificial intelligence from its origins in the 1970s to its application in clinical medicine in the 2020s. Organized into four stages, it helps readers effectively apply AI to lung imaging, leading to faster and more accurate diagnoses.

The Role of AI in Lung Disease Diagnosis

The book demonstrates how AI algorithms can process CT scan data to produce precise measures of emphysema, air trapping, and airway wall thickening in patients with Chronic Obstructive Pulmonary Disease (COPD). Additionally, it discusses the application of AI in diagnosing idiopathic pulmonary fibrosis (IPF), providing insights into pulmonary fibrosis and traction bronchiectasis.

From Reactive Machine AI to Limited Memory AI Methods

The author provides a comprehensive comparison of reactive machine AI and limited memory AI methods, helping readers understand the strengths and limitations of each approach.

Real-World Applications and Case Studies

“Developing the Digital Lung” includes in-depth case studies and explores the current state of cloud computing in AI-powered lung imaging. With its focus on practical applications, this book is an invaluable resource for healthcare professionals, researchers, and students working at the intersection of AI and medicine.

Publication Details: Published by Elsevier on September 13, 2022, this book is available in English and supports up to 4 simultaneous devices.