The field of artificial intelligence (also called "deep learning" or "machine learning") has evolved exponentially in recent years and is revolutionizing the biomedicine field. The availability of huge amounts of medical information ("big data"), in particular images, and the development of algorithms that learn to extract information patterns and make "intelligent" decisions from data are rapidly advancing the diagnosis and stratification of patients.

Recent studies have demonstrated the usefulness of artificial intelligence for the diagnosis of diseases such as cancer, cardiovascular disease and retinopathies. In these cases, the algorithms have yielded results as good or even better than the standards set by experts. The Federal Drug Agency in USA has approved the use of artificial intelligence in several medicine fields; the hope is that these techniques will have a significant effect on the practice of medicine in the 21st century.

The 11th edition of these conferences and debates will describe basic concepts in artificial intelligence and its application to biomedicine; as well as discussing its potential for the future of medicine and the socio-economic consequences that this technological revolution may have in current and future society.