Artificial Intelligence

Artificial Intelligence (AI) has its historical and scientific roots in man’s intimate inspiration to create a machine in which his own capabilities are fully reflected.
Although it is a complex technology, the idea behind it is very simple: to endow machines with autonomous learning and adaptive capabilities inspired by our own cognitive models.

In other words, Artificial Intelligence is a field of research that studies the programming and design of systems aimed at endowing machines with one or more characteristics considered typically human.

Properties, ranging from learning to visual or spatio-temporal perception. In the health field, the use of artificial intelligence, including machine learning, is now a real transformative force in many procedures.
The Food and drug administration (Fda) created a new regulatory framework a few years ago, introducing for systems using machine learning the concept of ‘Software as a medical device’ (SaMD) defined as ‘software intended to be used for one or more medical purposes that performs those purposes without being part of a hardware medical device’.
The ways in which machine learning can be used in the medical field are diverse, but certainly, digital diagnostics by means of standard image processing techniques is one of the fields in which it is possible to exploit the full computing power of modern hardware to automatically compare acquired images.
Clinical experience is obviously of paramount importance in this field, but being able to assist decision-making with machine learning methods can improve the quality of the result by providing specialists with an additional tool.