Role of Artificial Intelligence in Gastroenterology and Hepatology View PDF

Mohammed Afshar Alam
Medicine, Ayaan Institute Of Medical Sciences, India

Published on: 2024-07-12

Abstract

The term artificial intelligence (AI) refers to a collection of techniques designed to mimic human intelligence in some way. Gastroenterology is not an exception, as imaging is used for diagnostic purposes in various medical specialties. A number of applications of AI are available here, including the detection of polyps, the identification of their malignancy, the diagnosis of Helicobacter pylori infection, gastritis, inflammatory bowel disease, gastric cancer, esophageal neoplasms, and pancreatic and hepatic cancers. This review will discuss the main applications of artificial intelligence in hepatology and gastroenterology, as well as their limitations.

Keywords

Artificial Intelligence, Radiology, Gastroenterology, Hepatology

Introduction

In medicine, AI refers to the development of computers that can perform tasks requiring human intelligence. A great deal has been accomplished in the field of AI since it was first developed in the 1950s. AI is often referred to as machine learning (ML) or deep learning (DL), which refers to techniques within AI that enable computers to learn and adapt without explicit instructions. The goal of ML is to predict outcomes based on data using self-learning algorithms. Learning is either supervised or unsupervised within ML. A supervised learning algorithm learns from a dataset in which a hierarchy of features has previously been assigned so that it can distinguish between different data inputs and predict outcomes. Unsupervised learning uses datasets that have not been categorized by humans. After analyzing the data, the algorithm identifies patterns and labels [1].