Developing the Digital Lung

Developing the Digital Lung

From First Lung CT to Clinical AI
2024, Pages 103-120
Developing the Digital Lung

Chapter 7 - Using Limited Memory Lung CT AI to Derive Advanced Quantitative CT Lung Metrics of COPD, ILD, and COVID-19 Pneumonia

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Abstract

In this chapter, we discuss the use of limited memory AI computer programs in lung CT AI for the assessment of normal and diseased lung tissue. Limited memory AI methods were discussed in Chapter 4 in the assessment of pulmonary nodules. Limited memory AI programs go beyond the reactive machine AI methods that were discussed in Chapters 5 and 6. Lung CT AI methods that use limited memory AI can detect and assess lung disease from COPD, ILD, and COVID-19 pneumonia in ways that reactive machine AI methods cannot. Lung CT AI using limited memory AI can detect and assess different lung CT texture patterns in patients with ILD including ground-glass opacities, reticulations, and honeycombing. Limited memory AI methods applied to lung CT AI can detect and distinguish different texture patterns of emphysema in COPD patients better than visual CT methods. Limited memory lung CT AI can detect, assess, and distinguish COVID-19 viral pneumonia from other forms of pneumonia.

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