Machine learning in cystic fibrosis: narrative review

ABSTRACT
Machine learning (ML) is an emerging area of interest, and it can represent useful tool in cystic fibrosis (CF) to improve a personalized patient-centered care. It can help to evaluate and treat each patient in a specific and appropriate way according to his clinical needs.
The aim of this narrative review is to describe how ML can help and support clinical evaluations and decisions in CF patients, regarding medical aspects, rehabilitation approach, microbiology dimension.
It represents an original and primary evaluation of ML-approach connected with cystic fibrosis; indeed, artificial intelligence (AI) can predict risks with high precision, based on multidimensional clinical and biological datasets. AI gives a great opportunity to tailor early treatments or interventions to each patient with CF.

IMPACT STATEMENT
The review proposed has the aim to underline preliminary the status quo of machine learning in cystic fibrosis, a sort of map trying to clarify hidden aspects of the world of artificial intelligence.

Received: Jul 4, 2023
Accepted: Sept 7, 2023
Published: Dec 1, 2023