INTELLIGENT SYSTEM FOR EARLY DETECTION OF LUNG DISEASES BASED ON MULTIMODAL ANALYSIS OF AUDIO SIGNALS AND X-RAY IMAGES
DOI:
https://doi.org/10.65164/xvtn4120Kalit so‘zlar:
intelligent system, lung diseases, audio signals, X-ray images, deep neural networks, methodologyAbstrak
This article proposes an intelligent system for the early detection of lung diseases based on the joint analysis of audio signals and chest X-ray images. The proposed system enables reliable and highly accurate diagnosis of respiratory diseases by integrating audio signals and X-ray images using deep neural networks. A key feature of the system is the personalization of the analysis. During initial use, the system generates an individual patient profile, including age, gender, medical history, the presence of chronic diseases, and basic respiratory parameters. Subsequently, all new medical data is compared not only with the general training set but also with the patient's personal norm. This is particularly effective for monitoring chronic conditions such as chronic obstructive pulmonary diseases, bronchial asthma, and others, where tracking the dynamics of these parameters plays a key role. Thus, the proposed intelligent system provides an automated, accurate, and scalable process for diagnosing respiratory diseases, reducing the time it takes to establish a preliminary diagnosis and increasing the availability of medical care. It also stores patient data in a database for subsequent dynamic monitoring and analysis of changes in the patient's condition over time
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