부산대학교 도서관

Artificial intelligence (AI) is very likely to be a pioneering technology in arthroplasty, with a wide range of pre-, intra- and postoperative applications. The opportunities for patients, physicians and healthcare policy are considerable, especially in the context of optimized and individualized patient care. Despite these diverse possibilities, there are currently only a few AI applications in routine clinical practice, mainly due to the limited availability of analyzable health data. AI systems are only as good as the data they are trained with. If the data is insufficient, incomplete or biased, the AI may draw false conclusions. The current results of such AI applications in arthroplasty must therefore be viewed critically, especially as previous databases were not designed a priori for AI applications. The successful integration of AI therefore requires a targeted focus on the development of a specific data structure. In order to exploit the full potential of AI, comprehensive clinical data volumes are required, which can only be realized through a multicentric approach. In this context, ethical and data protection issues remain a further question, and not only in orthopedics. Cooperative efforts at a national and international level are therefore essential in order to research and develop new AI applications.