In this short assay we shall discuss a couple of papers previously published. The first paper was published by Hajirasouliha and Elemento in the American Society for Reproductive Medicine. The authors summed up the concepts of precision medicine and Artificial Intelligence (AI), as well as the several limitations that these have in medicine when genomics data are used. The second paper was published by Dias and Torkamani in Genome Medicine. The authors summed up the recent successes and potential future applications of AI in clinical diagnostics, highlighting the problems that can appear, and how can be resolved using AI techniques.

Taking into account previous information published by Iman Hajirasouliha and Olivier Elemento in the American Society for Reproductive Medicine and by Raquel Dias and Ali Torkamani in Genome Medicine, the main message of both papers is that applying AI to medicine has lots of benefits, despite having some limitations. Comparing the second paper and the first paper, the second one (published by Raquel Dias and Ali Torkamani in Genome Medicine) is more focused on the capacity that has AI to solve the problems that can appear when genomics data is used. Although this paper explains the solutions to the major problems when AI is combined with genomics data, both of us share the same opinion about the need of applies AI due to the variety and complexity of this type of data. Finally, both papers have in common that more studies are needed.

Personally, I think that the two previous papers are complementary each to other. This is because the first one published by Iman Hajirasouliha and Olivier Elemento in the American Society for Reproductive Medicine explains the problems that may appear when genomics data and AI are used, whereas the second one published by Raquel Dias and Ali Torkamani in Genome Medicine suggest solutions using AI, so the authors of the first paper might take advantage of the second one when more studies related to this subject are done.

To sum up, in my opinion applying AI in medicine is a potential tool that in a near future should be implemented in almost public and private institutes. I agree that at the moment there exist some limitations, so in my view, more studies must be done.