公开(公告)号：US20240335134A1

公开(公告)日：2024-10-10

申请号：US18624872

申请日：2024-04-02

申请人： Georgia Tech Research Corporation

发明人： Pinzhi Zhang ,  Alagappan Swaminathan ,  Ahmed Uddin

IPC分类号： A61B5/08 ,  A61B7/04 ,  G06T7/00

CPC分类号： A61B5/0816 ,  A61B7/04 ,  G06T7/0012 ,  G06T2207/20084 ,  G06T2207/30061

摘要： A pulmonary lung disease diagnostics system uses digital stethoscopes to record sounds emitted from a patient's lungs including respiratory or breathing audio. Digital audio files are leveraged to diagnose patients with a variety of lung ailments using deep learning algorithms and a network interface. A neural network is trained using a large collection of audio files to accurately diagnose patients with certain lung diseases. The neural network includes deep learning algorithms embedded into a minimum viable product (MVP) fullstack web application. The algorithms are used to affirm, contradict, or further investigate a patient's lung disease diagnosis.