Artificial intelligence methods for image classification applied to biological sounds for the early diagnosis of cardiorespiratory pathologies and COVID-19 infection

IF 0.7 Q4 ENGINEERING, BIOMEDICAL

International Journal of Biomedical Engineering and Technology Pub Date : 2023-01-01 DOI:10.1504/ijbet.2023.10057984

A. Giorgio

引用次数: 0

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应用人工智能方法对生物声音进行图像分类，早期诊断心肺疾病和COVID-19感染

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来源期刊

International Journal of Biomedical Engineering and Technology ENGINEERING, BIOMEDICAL-

CiteScore

1.60

自引率

0.00%

发文量

期刊介绍： IJBET addresses cutting-edge research in the multi-disciplinary area of biomedical engineering and technology. Medical science incorporates scientific/technological advances combining to produce more accurate diagnoses, effective treatments with fewer side effects, and improved ability to prevent disease and provide superior-quality healthcare. A key field here is biomedical engineering/technology, offering a synthesis of physical, chemical, mathematical and computational sciences combined with engineering principles to enhance R&D in biology, medicine, behaviour, and health. Topics covered include Artificial organs Automated patient monitoring Advanced therapeutic and surgical devices Application of expert systems and AI to clinical decision making Biomaterials design Biomechanics of injury and wound healing Blood chemistry sensors Computer modelling of physiologic systems Design of optimal clinical laboratories Medical imaging systems Sports medicine.