Artificial Intelligence in Thoracic Disease is a collection of review and research articles recently published in AME journals by experts from renowned institutions worldwide. These publications cover AI applications in radiology, pathology, pulmonary medicine, surgery, oncology and radiation oncology. The diversity of topics covered within this book is breath-taking (pun intended), ranging from a review of basic development of an AI network to applying AI towards solving complex patient care challenges to include: (1) decoding patients’ genomic make-up to aid early disease detection and prognostication; (2) analyzing pathologic specimens and/or radiologic images to facilitate expedited and more accurate diagnosis; (3) leveraging AI to improve treatment planning and operative efficacy; (4) assisting physicians in clinical decision-making for patient management through disease and treatment response surveillance and outcome prediction.