Artificial intelligence (AI) was first defined in 1950, but it gained incredible momentum with the emergence of deep learning in the early 2000s. It began to find widespread use in the field of medicine, as in other fields of science. AI models, thanks to patient imaging inputs, can assist the physician in diagnosing and planning spinal surgical approaches and offering the most appropriate treatment option to the patient. In our day, it can be said that artificial intelligence, which can determine surgical indications thanks to its algorithms, is successful in predicting the treatment outcome and complications that may develop. As AI systems now have the ability to analyse complex algorithms and self-learn, we are entering a new era in medicine where AI can be adapted to clinical practice through risk assessment models.