The rapid development of artificial intelligence (AI) and digital health raise concerns about
equitable access to innovative interventions, appropriate use of health data and privacy …

Artificial intelligence (AI) is an umbrella term used to describe a cluster of interrelated fields.
Machine learning (ML) refers to a model that learns from past data to predict future data …

Background Successful implementation of artificial intelligence in gastroenterology and
hepatology practice requires more than technology. There are ethical, legal, and social …

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)-based technologies are developing rapidly, offering great promise
for gastroenterology and particularly endoscopy. However, there are complex barriers and …

This chapter will map the ethical and legal challenges posed by artificial intelligence (AI) in
healthcare and suggest directions for resolving them. Section 1 will briefly clarify what AI is …

Purpose The purpose of this paper is to illuminate the ethical concerns associated with the
use of artificial intelligence (AI) in the medical sector and to provide solutions that allow …

Conclusions The implementation of AI in gastroenterology represents an exciting
intervention, with the highest chance of success for a high impact and widespread …

Internal medicine physicians are increasingly interacting with systems that implement
artificial intelligence (AI) and machine learning (ML) technologies. Some physicians and …

This article reviews the main ethical issues that arise from the use of artificial intelligence (AI)
technologies in medicine. Issues around trust, responsibility, risks of discrimination, privacy …