TY - JOUR
T1 - Artificial Intelligence in Interventional Pulmonology
AU - Brower, David
AU - Sengupta, Sohawm
AU - Bhatt, Arjun N.
AU - Allen, Steven
AU - Bechara, Rabih I
AU - Islam, Shaheen
AU - Healy, William J.
N1 - Publisher Copyright:
© The Author(s) 2025. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
PY - 2025/7/1
Y1 - 2025/7/1
N2 - Artificial intelligence (AI) is an exciting new technology poised to drastically improve the practice of medicine. Interventional pulmonology (IP) is particularly well situated to implement AI due to the variety of complex diagnostic and therapeutic techniques within its scope. By integrating AI into the field, the procedure planning and management of pulmonary disease should become easier, more accessible, and more effective. AI has already been implemented in the diagnostic techniques of navigational and virtual bronchoscopy, endobronchial ultrasound, and for the rapid onsite evaluation of pathological specimens. The goal of this review is to summarize recent utilization of AI in IP and to discuss the origins of the technology, ethical considerations, and future directions.
AB - Artificial intelligence (AI) is an exciting new technology poised to drastically improve the practice of medicine. Interventional pulmonology (IP) is particularly well situated to implement AI due to the variety of complex diagnostic and therapeutic techniques within its scope. By integrating AI into the field, the procedure planning and management of pulmonary disease should become easier, more accessible, and more effective. AI has already been implemented in the diagnostic techniques of navigational and virtual bronchoscopy, endobronchial ultrasound, and for the rapid onsite evaluation of pathological specimens. The goal of this review is to summarize recent utilization of AI in IP and to discuss the origins of the technology, ethical considerations, and future directions.
KW - Artificial intelligence
KW - bronchoscopy
KW - interventional pulmonology
UR - https://www.scopus.com/pages/publications/105022168592
UR - https://www.scopus.com/pages/publications/105022168592#tab=citedBy
U2 - 10.1177/29768675251353390
DO - 10.1177/29768675251353390
M3 - Review article
AN - SCOPUS:105022168592
SN - 1179-5484
VL - 20
JO - Clinical Medicine Insights: Circulatory, Respiratory and Pulmonary Medicine
JF - Clinical Medicine Insights: Circulatory, Respiratory and Pulmonary Medicine
ER -