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Adoption of Lung CT AI Into Clinical Medicine
Introduction The successes in the 2000s and 2010s in developing reactive machine AI and limited-memory AI methods to detect and assess the present and severity of x-ray chest CT imaging findings associated with COVID-19 pneumonia, COPD, ILD, and lung cancer…
Lung CT AI Enables Advanced Computer Modeling of Lung Physiome Structure and Function
Virtual Physiological Human and a Lung Physiome Model The International Union of Physiological Physiome project was the foundation for the Virtual Physiological Human (VPH) initiative and the human physiome. The term physiome describes the physiology of the whole organism. The…
Using Limited Memory Lung CT AI to Derive Advanced Quantitative CT Lung Metrics of COPD, ILD, and COVID-19 Pneumonia
Introduction In this chapter, we look at more advanced AI machine learning computer programs for the assessment of normal and diseased lungs using lung CT AI. These AI programs go beyond the reactive machine methods and use the more advanced…
Using Reactive Machine AI and Dynamic Changes in Lung Structure to Derive Functional Quantitative Lung CT Metrics of COPD, ILD, and Asthma
Introduction The previous chapter reviewed the lung CT AI methods to assess normal and diseased lung structure using a single TLC chest CT scan. COPD, ILD, and asthma can all produce small and large airway disease. This chapter will look…
Using Reactive Machine AI to Derive Quantitative Lung CT Metrics of COPD, ILD, and COVID-19 Pneumonia
Introduction This chapter will first review the basic structure of the human lung and use this information to explore the different QCT lung metrics that can be obtained from a single chest CT scan obtained at total lung capacity (TLC).…
Quantitative Assessment of Lung Nodule Size, Shape, and Malignant Potential Using Both Reactive and Limited-Memory Lung CT AI
CT Assessment of Lung Nodules—CT Versus Projection Radiography (PR) This chapter will describe the importance of detecting and assessing the risk of lung cancer in a lung nodule by lung CT AI. The diameter of the pulmonary nodule was the…
X-ray CT Scanning Protocols for Lung CT AI Applications
In this chapter we will discuss the elements of chest CT scanning protocols that are optimized for lung CT AI applications. These lung CT AI applications can be divided into visual CT (VCT) applications, where the analysis of the lung…
Three-Dimensional (3D) Digital Images of the Lung Using X-ray Computed Tomography
This chapter will discuss the digital lung, x-rays, and key components of the x-ray CT scanner to help better understand lung CT AI scanning protocols, and to briefly review the historical progression of advancements in x-ray computed tomography of the…
Introduction to Lung CT AI
AI: An Intelligent Agent The foundation for this book about lung CT AI is the application of what Alan Turing described in 1936 as the “universal Turing machine.” This is what is known today as the computer hardware and software…