The invention relates to a process for identification of an implant, optionally worn by an individual, comprising the following steps, performed by a processing unit:



obtaining a radiographic input image in which a dental implant is visible;
classification of a region of interest of said radiographic image by means of at least one convolutional neural network; said classification producing a list of candidate implants to be the implant visible on the image, the list being ordered as a function of a probability of being the implant visible on the image.