In the upcoming decade, the practice of gastroenterology and hepatology (GI) will undoubtedly be altered by the incorporation of artificial intelligence (AI). Although the use of artificial intelligence (AI) in health care is not new, there have been rapid advances, and the AI landscape of the future is beginning to emerge. AI promises to improve and speed up clinical and procedural gastrointestinal (GI) practice and research in a variety of ways, including endoscopic assistance through computer vision technology and the predictive capabilities of the vast amounts of data in electronic health records. At first glance, the extensive body of research on AI applications in gastroenterology may seem overwhelming. However, the purpose of this review is to provide a breakdown of the most important studies that have been conducted up to this point and to demonstrate the numerous potential ways this technology may affect the field. This review will also take a look into the future and imagine how the gastrointestinal system (GI) can change over the next few years, as well as any potential obstacles that need to be overcome before this future can be realized. In the 1950s, the term "artificial intelligence" (AI) was first used to describe the use of computers to carry out traditionally human-like tasks like problem-solving and nuanced decisionmaking. In recent decades, there has been a flurry of interest in AI-driven health care and medicine, in large part due to the plethora of data that has become accessible since the EHR was created. By making use of the enormous amounts of data that are currently stored in the electronic health record (EHR), it is hoped that AI-driven health care will one day be able to lead to improvements in all aspects of patient care.