©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Med Imaging. Feb 28, 2022; 3(1): 1-7
Published online Feb 28, 2022. doi: 10.35711/aimi.v3.i1.1
Published online Feb 28, 2022. doi: 10.35711/aimi.v3.i1.1
Applications of artificial intelligence in common pulmonary diseases
Saiara Choudhury, Asad Chohan, Rahul Dadhwal, Abhay P Vakil, Rene Franco, Pahnwat Tonya Taweesedt, Department of Pulmonary Medicine, Corpus Christi Medical Center, Corpus Christi, TX 78411, United States
Author contributions: Choudhury S performed the majority of the writing; Chohan AA provided the input in writing the paper; Dadhwal R provided the input in writing the paper; Abhay V provided the input in writing the paper; Franco R provided the input in writing the paper; Taweesedt PT designed the outline and coordinated the writing of the paper.
Conflict-of-interest statement: All authors declare that they have no conflict of interest to report.
Corresponding author: Pahnwat Tonya Taweesedt, MD, Academic Fellow, Department of Pulmonary Medicine, Corpus Christi Medical Center, 3315 S Alameda St., Corpus Christi, TX 78411, United States. pahnwatt@gmail.com
Received: December 13, 2021
Peer-review started: December 13, 2021
First decision: January 26, 2022
Revised: February 14, 2022
Accepted: February 17, 2022
Article in press: February 17, 2022
Published online: February 28, 2022
Processing time: 77 Days and 1.9 Hours
Peer-review started: December 13, 2021
First decision: January 26, 2022
Revised: February 14, 2022
Accepted: February 17, 2022
Article in press: February 17, 2022
Published online: February 28, 2022
Processing time: 77 Days and 1.9 Hours
Core Tip
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.