RT期刊文章SR电子T1之间的合作可辩解的人工智能和位肺脏改善肺功能测试的准确性解释摩根富林明欧洲呼吸杂志乔和J FD欧元欧洲呼吸学会SP 61 10.1183/13993003.01720 -2022签证官2201720是5 A1 Nilakash Das A1苏菲Happaerts A1 Iwein Gyselinck A1迈克尔sta A1 Eric Derom A1家伙Brusselle A1 Felip布尔戈斯A1马可Contoli A1 (188bet官网地址Anh Tuan Dinh-Xuan A1熔化主机Franssen A1 Sherif Gonem A1尼尔绿化A1 Christel Haenebalcke A1威廉直流。男人A1 Jorge莫伊塞斯A1 Rudi也是A1 Vitalii Poberezhets A1詹妮弗·k·迈克尔·c·施泰纳五胞胎A1 A1 Eef Vanderhelst A1 Mustafa Abdo A1 Marko Topalovic A1年维姆·詹森2023 UL //www.qdcxjkg.com/content/61/5/2201720.abstract AB背景很少有研究调查和人工智能(AI)之间的合作潜力位肺脏诊断肺部疾病。我们提出,合作是胸腔和AI的解释(可辩解的AI(新品))优越的诊断解释肺功能测试(击球)比不支持治疗。方法研究是在两个阶段进行,monocentre研究(第一阶段)和多中心的干预研究每个阶段(阶段2)。利用两组不同的24击球的报道患者临床诊断金标准进行验证。每个击球解释没有(控制)和新品的建议(干预)。位肺脏组成的鉴别诊断提供诊断和优惠可选三个额外的诊断。主要终点相比精度控制和干预之间的优惠和额外的诊断。二次端点的诊断鉴别诊断,诊断信心和两分的协议。我们也分析了新品如何影响位肺脏的决定。结果在阶段1 (n = 16位肺脏),意味着优惠和鉴别诊断准确性显著增加了10.4%和9.4%,分别控制和干预之间(p < 0.001)。 Improvements were somewhat lower but highly significant (p<0.0001) in phase 2 (5.4% and 8.7%, respectively; n=62 pulmonologists). In both phases, the number of diagnoses in the differential diagnosis did not reduce, but diagnostic confidence and inter-rater agreement significantly increased during intervention. Pulmonologists updated their decisions with XAI's feedback and consistently improved their baseline performance if AI provided correct predictions.Conclusion A collaboration between a pulmonologist and XAI is better at interpreting PFTs than individual pulmonologists reading without XAI support or XAI alone.This study demonstrates that pulmonologists improve their individual diagnostic interpretation of pulmonary function tests when supported by AI-based computer protocols with automated explanations. Such teamwork may become commonplace in the future. https://bit.ly/3ZKK4Eu