The application of artificial intelligence technologies is growing in several fields of
healthcare settings. The aim of this article is to review the current applications of artificial …

Background and aims Obesity is a chronic disease which can cause severe metabolic
disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to …

During the past several years, there has been a shift in terminology from bariatric surgery
alone to bariatric and metabolic surgery (BMS). More than a change in name, this signifies a …

Background While bariatric surgery is an effective method for achieving long-term weight
loss, postoperative readmissions are associated with negative clinical outcomes and …

Abstract Background and Aims Bacterial species and microbial pathways along with
metabolites and clinical parameters may interact to contribute to non‐alcoholic fatty liver …

Objectives Metabolic bariatric surgery is a critical intervention for patients living with obesity
and related health issues. Accurate classification and prediction of patient outcomes are vital …

Background and aims: Obesity is a chronic disease which can cause severe metabolic
disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to …

Artificial intelligence (AI) is an umbrella term, which refers to different methods that simulate
the process of human learning. As is the case with medicine in general, the field of bariatric …

THE ROLE OF DIGITALIZATION IN IMPROVING ACCOUNTABILITY AND EFFICIENCY IN
PUBLIC SERVICES Page 1 _____________________________ Email:kalenychenko.ra@knuba.edu.ua …

AI's integration and adoption in the sector have evolved to be a game-changer through
operational revolutionisation regarding accessibility to advanced diagnosis and treatments …