Publication Name	Artificial Intelligence in Medical Imaging
Manuscript ID	73702
Country	United States

Received	2021-12-13 05:38
Peer-Review Started	2021-12-13 05:39
To Make the First Decision
Return for Revision	2022-01-26 18:30
Revised	2022-02-14 08:29
Second Decision	2022-02-21 07:23
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2022-02-23 20:45
Articles in Press	2022-02-23 20:45
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2022-02-25 02:18
Publish the Manuscript Online	2022-02-28 07:30

ISSN	2644-3260 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright	©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Respiratory System
Manuscript Type	Minireviews
Article Title	Applications of artificial intelligence in common pulmonary diseases
Manuscript Source	Invited Manuscript
All Author List	Saiara Choudhury, Asad Chohan, Rahul Dadhwal, Abhay P Vakil, Rene Franco and Pahnwat Tonya Taweesedt
ORCID	Author(s) ORCID Number Saiara Choudhury http://orcid.org/0000-0001-7225-4905 Asad Chohan http://orcid.org/0000-0002-1801-9792 Rahul Dadhwal http://orcid.org/0000-0001-6963-1466 Abhay P Vakil http://orcid.org/0000-0003-4947-0233 Rene Franco http://orcid.org/0000-0002-0684-7732 Pahnwat Tonya Taweesedt http://orcid.org/0000-0002-5791-6920
Funding Agency and Grant Number
Corresponding Author	Pahnwat Tonya Taweesedt, MD, Academic Fellow, Department of Pulmonary medicine, Corpus Christi Medical Center, 3315 S Alameda St., Corpus Christi, Texas 78411, United States. pahnwatt@gmail.com
Key Words	Artificial intelligence; Machine learning; Imaging; Lung; Respiratory; Pulmonary disease; Coronavirus disease 2019
Core Tip	Artificial Intelligence (AI) has the potential to have a tremendous influence when dealing with pulmonary diseases. This review provides a glimpse of AI application in pulmonary medicine and explains how AI uses imaging data to facilitate precision medicine in our data-driven era.
Publish Date	2022-02-28 07:30
Citation	Choudhury S, Chohan A, Dadhwal R, Vakil AP, Franco R, Taweesedt PT. Applications of artificial intelligence in common pulmonary diseases. Artif Intell Med Imaging 2022; 3(1): 1-7
URL	https://www.wjgnet.com/2644-3260/full/v3/i1/1.htm
DOI	https://dx.doi.org/10.35711/aimi.v3.i1.1

Full Article (PDF)	AIMI-3-1.pdf
Full Article (Word)	AIMI-3-1.docx
Manuscript File	73702_Auto_Edited-LJH.docx
Answering Reviewers	73702-Answering reviewers.pdf
Audio Core Tip	73702-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	73702-Conflict-of-interest statement.pdf
Copyright License Agreement	73702-Copyright license agreement.pdf
Peer-review Report	73702-Peer-review(s).pdf
Scientific Misconduct Check	73702-Bing-Liu JH-2.jpg
Scientific Misconduct Check	73702-CrossCheck.jpg
Scientific Editor Work List	73702-Scientific editor work list.pdf
CrossCheck Report	73702-CrossCheck report.pdf