Abstract. The aim of this study is to develop and approve an innovative methodological concept of orthopaedic implant performance monitoring using modern wireless sensor technologies and artificial intelligence algorithms. The paper provides a detailed analysis of the existing methods of diagnostics of implant condition, reveals their technical and methodological limitations, and analyses the current trends in the field of medicine aimed at improving the reliability and safety of implantation. The proposed technique combines the collection of temperature and other physical data by means of high-precision wireless sensors and their processing with the use of machine learning algorithms to predict possible deviations in implant operation and timely detection of the initial signs of wear or damage. The experimental part of the research includes testing of the developed system in real clinical conditions that allowed to obtain significant statistical evidence of its efficiency and accuracy. The results showed that the application of the innovative approach allows not only to improve the accuracy of diagnosis, but also to significantly reduce the response time to potential complications, which is important for surgical intervention and reducing the risk of unfavourable outcomes. The presented approach opens new perspectives for further research in the field of medical implant monitoring, contributing to the development of personalised medicine and improving the quality of life of patients.

Keywords: Orthopedic implants, wireless temperature sensor, artificial intelligence, digitalization, diagnostics, patient.