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Low-Cost OA Assessment: CNN-Based Integration of Knee Sounds and Patient-Reported Measures

Year: 2025

Type: article

Abstract: Osteoarthritis (OA) remains a leading cause of disability worldwide, with significant socioeconomic impact.Current diagnostic methods rely heavily on radiological imaging and clinical assessment, which are costly, resource-intensive, and often limited in accessibility.This paper presents a low-cost, highimpact diagnostic framework that fuses knee acoustic emissions (KAE) with patient-reported measures (PRM) using convolutional neural networks (CNNs).

Source: International Research Journal of Modernization in Engineering Technology and Science

DOI: 10.56726/irjmets83227

Language: English

Topic: Phonocardiography and Auscultation Techniques

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4414815067

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