Brower David, Sengupta Sohawm, Bhatt Arjun N, Allen Steven, Bechara Rabih, Islam Shaheen, Healy William J
Medical College of Georgia School of Medicine, Augusta, GA, USA.
Division of Pulmonary, Critical Care, and Sleep Medicine, Medical College of Georgia at Augusta University, Augusta, USA.
Ther Adv Pulm Crit Care Med. 2025 Jul 14;20:29768675251353390. doi: 10.1177/29768675251353390. eCollection 2025 Jan-Dec.
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.
人工智能(AI)是一项令人兴奋的新技术,有望极大地改善医学实践。由于介入肺脏病学(IP)范围内有各种复杂的诊断和治疗技术,因此它特别适合实施人工智能。通过将人工智能整合到该领域,肺部疾病的程序规划和管理应该会变得更容易、更便捷且更有效。人工智能已经应用于导航和虚拟支气管镜检查、支气管内超声等诊断技术,以及病理标本的快速现场评估。这篇综述的目的是总结人工智能在介入肺脏病学中的近期应用情况,并讨论该技术的起源、伦理考量和未来方向。