Current Advances of Artificial Intelligence and Machine Learning in Orthopaedics: A Focus on Hip Surgery

Abstract

In recent years, we assisted the exploitation of Artificial Intelligence (AI) that invasively pervades in several instances of everyday life. The potential of this technology promises the automation of human tasks increasing accuracy and efficiency. The integration of AI systems in the orthopaedic field is becoming more and more a concrete reality, so this topic is gaining increasing interest by the scientific community. More and more authors are testing the power of AI in orthopaedics, exploiting the application in routine workflow, and asking if AI could improve clinical and surgical practice. In this brief narrative review, the state-of-art of AI in hip district orthopaedics is presented, particularly focusing on the application of AI tools in the context of radiological images, early diagnosis, clinical datasets, and around operative theatre. Possible future development of AI-hip pathology management is exposed too, and clear doubts about exploits of these tools in clinical practice are also exposed.

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