A new Journal of Internal Medicine article
proposes that artificial intelligence tools, such as machine learning
algorithms, have the potential for building predictive models for the diagnosis
and treatment of diseases linked to imbalances in gut microbial communities, or
microbiota.
The article focuses mainly on patients with
cancer, who often undergo treatments that can cause profound alterations in the
gut microbiota and potentially contribute to the development of complications.
Because research on the human microbiome is an
emerging science and the application of artificial intelligence in medicine is
in its infancy, it is important to consider ethical, legal, and social issues
simultaneously with technical refinements required for applying these
technologies to the clinic.
"Artificial intelligence algorithms have
the potential to change the everyday medical practices and offer the prospect
of identifying new associations not yet detected by humans, which will be very
useful for better understanding the complexity of the human microbiota,"
said author Dr. J. Luis Espinoza, of the Kindai University Faculty of Medicine,
in Japan.
See:
Posted by Dr. Tim Sandle