Artificial intelligence in esophageal cancer diagnosis and treatment: where are we now?—a narrative review

ABSTRACT:

Background and Objective

Artificial intelligence (AI) use is becoming increasingly prevalent directly or indirectly in daily clinical practice, including esophageal cancer (EC) diagnosis and treatment. Although the limits of its adoption and their clinical benefits are still unknown, any physician related to EC patients’ management should be aware of the status and future perspectives of AI use in their field. The purpose of this review is to summarize the existing literature regarding the role of AI in diagnosis and treatment of EC. We have focused on the aids AI entails in the management of this pathology and we have tried to offer an updated perspective to maximize current applications and to identify potential future uses of it.

Methods

Data concerning AI applied to E

SUBMITTER: Merchan Gomez B 

PROVIDER: S-EPMC10477654 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature