Artificial Intelligence in Thoracic Disease

Posted On 2023-04-19 15:31:42
Artificial Intelligence in Thoracic Disease
Editors: Jianxing He, Fred R. Hirsch, Richard P. Steeds

Publisher: AME Publishing Company; 1st edition (2023)
ISBN: 978-988-74594-4-6
Hardcover: 310 pages
Language: English
Available at:

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.


Jianxing He Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China
Fred R. Hirsch Center for Thoracic Oncology, Mount Sinai Cancer, New York, NY, USA
Richard P. Steeds Queen Elizabeth Hospital & Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK


In-Jae Oh Lung and Esophageal Cancer Clinic, Chonnam National University, Hwasun Hospital, Hwasun, Republic of Korea; Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
Chi Wan Koo Department of Radiology, Mayo Clinic, Rochester, MN, USA
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