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…
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…
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…
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…
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…
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…
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…
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…
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…
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…