Medical Faculty, Department of Pulmonary Diseases, Medical University - Sofia, Sofia, Bulgaria.
Pneumology Department, Hospital Universitari Vall d´Hebron/Vall d'Hebron Institut de Recerca, CIBER de Enfermedades Respiratorias (CIBERES), Barcelona, Spain.
Expert Rev Respir Med. 2020 Jun;14(6):559-564. doi: 10.1080/17476348.2020.1743181. Epub 2020 Mar 17.
: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in particular in respiratory medicine is an increasingly relevant topic.: We aimed to identify and describe the studies published on the use of AI and ML in the field of respiratory diseases. The string '(((pulmonary) OR respiratory)) AND ((artificial intelligence) OR machine learning)' was used in PubMed as a search strategy. The majority of studies identified corresponded to the area of chronic obstructive pulmonary disease (COPD), in particular to COPD and chest computed tomography scans, interpretation of pulmonary function tests, exacerbations and treatment. Another field of interest is the application of AI and ML to the diagnosis of interstitial lung disease, and a few other studies were identified on the fields of mechanical ventilation, interpretation of images on chest X-ray and diagnosis of bronchial asthma.: ML may help to make clinical decisions but will not replace the physician completely. Human errors in medicine are associated with large financial losses, and many of them could be prevented with the help of AI and ML. AI is particularly useful in the absence of conclusive evidence of decision-making.
人工智能 (AI) 和机器学习 (ML) 在医学中的应用，尤其是在呼吸医学中的应用，是一个日益相关的话题。我们旨在确定并描述在呼吸疾病领域中使用 AI 和 ML 的研究。在 PubMed 中，使用字符串“(((pulmonary) OR respiratory)) AND ((artificial intelligence) OR machine learning)”作为搜索策略。确定的大多数研究都与慢性阻塞性肺疾病（COPD）领域相对应，特别是 COPD 和胸部计算机断层扫描、肺功能测试的解读、加重和治疗。另一个感兴趣的领域是将 AI 和 ML 应用于间质性肺病的诊断，还确定了一些关于机械通气、胸部 X 光片图像解读和支气管哮喘诊断领域的研究。ML 可能有助于做出临床决策，但不会完全取代医生。医学中的人为错误与巨大的经济损失相关，其中许多错误可以在 AI 和 ML 的帮助下预防。在缺乏明确决策证据的情况下，AI 特别有用。
