Developing The Digital Lung From First Lung CT To Clinical AI (Original PDF From Publisher)

1.1.Description

In response to recent groundbreaking advancements in artificial intelligence, “Developing the Digital Lung: From First Lung CT to Clinical AI” by Dr. John Newell emerges as the quintessential reference for applied artificial intelligence in lung disease development and its clinical applications. This comprehensive resource offers a unique overview, commencing with the inception of artificial intelligence in the mid-1970s and progressing to its integration into clinical medicine by the early 2020s. Structured around the four stages of development, the book facilitates the effective application of artificial intelligence to lung imaging. “Developing the Digital Lung: From First Lung CT to Clinical AI” charts the evolution of precise quantitative CT of diffuse lung disease through applied AI, expediting the diagnosis of patients with lung ailments. Covering CT manufacturers, models, scanning protocols, and AI algorithms’ data processing capabilities, the book delves into measures of various pulmonary conditions, including COPD and idiopathic pulmonary fibrosis (IPF). With insights into reactive machine AI, limited memory AI methods, and cloud computing, and enriched with case studies, this resource is indispensable for practitioners and researchers in the evolving landscape of AI in pulmonary healthcare.

Developing The Digital Lung From First Lung CT To Clinical AI (Original PDF From Publisher)

1.2.Key Features

“Developing the Digital Lung: From First Lung CT to Clinical AI” is a comprehensive guide that navigates the evolving landscape of artificial intelligence (AI) in lung disease development and clinical applications. Authored by Dr. John Newell, the book traces the historical origins of AI in the mid-1970s to its contemporary integration into clinical medicine. The content is organized around the four stages of development, facilitating a practical understanding and application of AI in lung imaging. The book covers essential topics such as the evolution of precise quantitative CT for diffuse lung disease, the role of applied AI in diagnosis, and discussions on CT manufacturers, models, and scanning protocols. “Developing the Digital Lung: From First Lung CT to Clinical AI” explores AI algorithms’ capabilities in measuring various pulmonary conditions, including COPD and idiopathic pulmonary fibrosis, and discusses different AI methods and cloud computing. The inclusion of comprehensive case studies enhances the practical relevance of the content, making it an invaluable resource for professionals and researchers in the field.

Developing The Digital Lung From First Lung CT To Clinical AI (Original PDF From Publisher)

1.3. About Writer

Dr. John D. Newell is a distinguished medical professional specializing in radiology and has made significant contributions to the field. Holding the title of MD FACR (Doctor of Medicine, Fellow of the American College of Radiology), Dr. Newell has demonstrated expertise in medical imaging and artificial intelligence applications in healthcare. With a career spanning several decades, he has actively contributed to the advancement of radiological technologies and their integration into clinical practice. Dr. Newell’s notable achievements include his role as the author of “Developing the Digital Lung: From First Lung CT to Clinical AI” a comprehensive guide that explores the application of artificial intelligence in lung disease development and clinical medicine. His work reflects a commitment to advancing medical knowledge and technology for improved patient care in the evolving landscape of diagnostic imaging.

Developing The Digital Lung From First Lung CT To Clinical AI (Original PDF From Publisher)

Summary

“Developing the Digital Lung: From First Lung CT to Clinical AI” by Dr. John D. Newell provides a comprehensive overview of the application of artificial intelligence (AI) in the field of lung disease development and clinical medicine. The book traces the evolution of AI, beginning with its origins in the 1970s and progressing to its recent application in the early 2020s. Organized around the four stages of development, it focuses on the precise quantitative analysis of diffuse lung disease using AI, enhancing the speed and accuracy of diagnoses. Covering topics such as CT imaging protocols, AI algorithms for measuring various lung parameters, and the differences between reactive machine AI and limited memory AI methods, the book offers practical insights. It includes case studies and discusses the role of cloud computing in this dynamic intersection of technology and medicine. “Developing the Digital Lung: From First Lung CT to Clinical AI” is invaluable for professionals seeking a deep understanding of the integration of AI into lung imaging for improved patient outcomes.