Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging.

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作者： Arshia K,Sethi ^[1] ; Pratyusha,Muddaloor ^[1] ; Priyanka,Anvekar ^[2] ; Joshika,Agarwal ^[3] ; Anmol,Mohan ^[1] ; Mansunderbir,Singh ^[4] ; Keerthy,Gopalakrishnan ^[1] ; Ashima,Yadav ^[5] ; Aakriti,Adhikari ^[6] ; Devanshi,Damani ^[1] ; Kanchan,Kulkarni ^[6] ; Christopher A,Aakre ^[7] ; Alexander J,Ryu ^[8] ; Vivek N,Iyer ^[9] ; Shivaram P,Arunachalam ^[2]

作者单位： GIH Artificial Intelligence Laboratory (GAIL), Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA. ^[1] Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA. ^[2] Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA. ^[3] Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA. ^[4] Microwave Engineering and Imaging Laboratory (MEIL), Division of Gastroenterology & Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA. ^[5] Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA. ^[6] Department of Internal Medicine, Texas Tech University Health Science Center, El Paso, TX 79995, USA. ^[7] INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, University of Bordeaux, U1045, F-33000 Bordeaux, France. ^[8] IHU Liryc, Heart Rhythm Disease Institute, Fondation Bordeaux Université, F-33600 Pessac, France. ^[9]

关键词 AI auscultation deep learning electronic stethoscope lung sounds machine learning phonopulmogram respiratory disorders