David Brower, Sohawm Sengupta, Arjun N Bhatt, Steven Allen, Rabih Bechara, Shaheen Islam, William J Healy
{"title":"介入肺脏学中的人工智能。","authors":"David Brower, Sohawm Sengupta, Arjun N Bhatt, Steven Allen, Rabih Bechara, Shaheen Islam, William J Healy","doi":"10.1177/29768675251353390","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94361,"journal":{"name":"Therapeutic advances in pulmonary and critical care medicine","volume":"20 ","pages":"29768675251353390"},"PeriodicalIF":3.0000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12260329/pdf/","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence in Interventional Pulmonology.\",\"authors\":\"David Brower, Sohawm Sengupta, Arjun N Bhatt, Steven Allen, Rabih Bechara, Shaheen Islam, William J Healy\",\"doi\":\"10.1177/29768675251353390\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":94361,\"journal\":{\"name\":\"Therapeutic advances in pulmonary and critical care medicine\",\"volume\":\"20 \",\"pages\":\"29768675251353390\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12260329/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Therapeutic advances in pulmonary and critical care medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/29768675251353390\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"0\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Therapeutic advances in pulmonary and critical care medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/29768675251353390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"0","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
Artificial Intelligence in Interventional Pulmonology.
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.