The era of big data has led to the necessity of artificial intelligence models to effectively
handle the vast amount of clinical data available. These data have become indispensable …

Machine learning has undergone a transition phase from being a pure statistical tool to
being one of the main drivers of modern medicine. In gastroenterology, this technology is …

Extensive implementation of artificial intelligence (AI) in the field of medical diagnosis has
been expected for half a century. For a long time, the leading methods to AI were based on …

Artificial intelligence (AI) based on deep learning boosted medical research in the past years
and is expected to enormously change the style of health care in many aspects in the …

The access to increasing volumes of scientific and clinical data, particularly with the
implementation of electronic health records, has reignited an enthusiasm for artificial …

Gastroenterology is a particularly data-rich field, generating vast repositories of data that are
a fruitful ground for artificial intelligence (AI) and machine learning (ML) applications. In this …

Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough
computer technology. By the era of big data, the accumulation of an enormous number of …

GI disorders are among the leading causes of healthcare burden in the United States and
patients with GI disorders generate an abundance of health data, including documented …

Clinicians and software developers need to understand how proposed machine learning
(ML) models could improve patient care. No single metric captures all the desirable …

Actionable insights and learning from a highly complex biomedical dataset is a key
challenge in smart healthcare. Traditional data processing algorithms fails to provide the …