Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.

导出 OA

翻译打印收藏纠错

作者： Johan N,Siebert ^[1] ; Mary-Anne,Hartley ^[2] ; Delphine S,Courvoisier ^[3] ; Marlène,Salamin ^[4] ; Laura,Robotham ^[5] ; Jonathan,Doenz ^[6] ; Constance,Barazzone-Argiroffo ^[6] ; Alain,Gervaix ^[3] ; Pierre-Olivier,Bridevaux ^[7]

作者单位： Division of Paediatric Emergency Medicine, Department of Women, Child and Adolescent, Geneva University Hospitals, 47 Avenue de la Roseraie, 1211, Geneva 14, Switzerland. Johan.Siebert@hcuge.ch. ^[1] Faculty of Medicine, University of Geneva, Geneva, Switzerland. Johan.Siebert@hcuge.ch. ^[2] Machine Learning and Optimization (MLO) Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. ^[3] Quality of Care Unit, Geneva University Hospitals, Geneva, Switzerland. ^[4] Faculty of Medicine, University of Geneva, Geneva, Switzerland. ^[5] Division of Pulmonology, Hospital of Valais, Sion, Switzerland. ^[6] Division of Paediatric Pulmonology, Department of Women, Child and Adolescent, Geneva University Hospitals, Geneva, Switzerland. ^[7] Division of Paediatric Emergency Medicine, Department of Women, Child and Adolescent, Geneva University Hospitals, 47 Avenue de la Roseraie, 1211, Geneva 14, Switzerland. ^[8]

关键词 Artificial intelligence Auscultation Deep learning Idiopathic interstitial pneumonias Idiopathic pulmonary fibrosis Lung diseases, Interstitial Pulmonary disease, Chronic obstructive Respiratory sounds Ultrasonography