Artificial intelligence is slowly making its way into all domains and medicine is no exception. AI is already proving to be a promising tool in the healthcare field. With respect to orthopaedics, AI is already under use in diagnostics as in fracture and tumour detection, predictive algorithms to predict the mortality risk and duration of hospital stay or complications like implant loosening and in real time assessment of postoperative rehabilitation. AI could also be of use in surgical training, utilising technologies like virtual reality and augmented reality. However, clinicians should also be aware of the limitations of artificial intelligence as validation is necessary to avoid errors. This article aims to provide a description of artificial intelligence and its subfields, its current applications in orthopaedics, the limitations and its future prospects. 

Prannoy Paul is a leading consultant orthopedic surgeon based in Kochi, India, and currently serves as an assistant professor at the Institute of Advanced Orthopedics, M.O.S.C Medical College, Kerala. He earned his MBBS and master's in orthopedic surgery from Kerala University of Health Sciences, followed by a DNB in orthopedic surgery from the National Board, India. He is a member of the National Academy of Medical Sciences (NAMS), the Epidemiology Foundation of India (EFI), and the prestigious Royal College of Surgeons of Edinburgh (MRCS). Actively engaged in orthopedic and trauma surgery, as well as sports medicine, he is also a prolific researcher with numerous national and international publications. He has delivered talks globally and contributes to the editorial teams of Academia Medicine Journal and Futurity Medicine Journal