A Review on Artificial Intelligence in Orthopaedics

Abstract

Artificial intelligence (AI) is a booming technology in today's world that is poised to usher in a new era in the globe by developing intelligent machines capable of solving complicated issues and making decisions based on pattern recognition. AI is impacting enormously various domains and one such domain is healthcare. As medical data is increasing exponentially, AI has the potential of taking over monotonous tasks which otherwise can lead to burnout among medical professionals. The question is can surgical robots replace human surgeons? AI assists radiologists to ameliorate diagnostic accuracy and averting human errors and observer fatigue. Deep learning models such as Convolutional Neural Networks (CNN), are being used for image classification. AI can be useful in saving human lives by analysing the medical records of patients and thus predicting the criticality in patients. The study of skeletal radiographs and the interpretation of radiologic images such as Magnetic Resonance Imaging (MRI) can both benefit from AI. The main aim of this paper is to present a comparative study and gap analysis of the recent work in the field of orthopaedics using AI. This will provide readers with an understanding of the different models that have been used in the field and the accuracy of those models.