Simple Summary Esophageal cancer is the seventh leading cause of cancer-related
mortality worldwide, with a 5-year survival rate of around 20%. Recently, deep learning (DL) …

Objective To investigate systematically previous studies on the accuracy of artificial
intelligence (AI)‐assisted diagnostic models in detecting esophageal neoplasms on …

Background and Aims The visual detection of early esophageal neoplasia (high-grade
dysplasia and T1 cancer) in Barrett's esophagus (BE) with white-light and virtual …

Healthcare agents, in particular in the oncology field, are currently collecting vast amounts of
diverse patient data. In this context, some decision-support systems, mostly based on deep …

Artificial intelligence (AI) has emerged as a powerful and exciting new technology poised to
impact many aspects of health care. In endoscopy, AI is now being used to detect and …

Artificial intelligence (AI) is rapidly becoming an essential tool in the medical field as well as
in daily life. Recent developments in deep learning, a subfield of AI, have brought …

At present, the application of artificial intelligence (AI) based on deep learning in the medical
field has become more extensive and suitable for clinical practice compared with traditional …

Simple Summary The implementation of artificial intelligence in healthcare has gained
significant momentum over the last decade, particularly in specialties where image analysis …

Barrett's esophagus (BE) represents a pre-malignant condition characterized by abnormal
cellular proliferation in the distal esophagus. A timely and accurate diagnosis of BE is …

Background and Aims Volumetric laser endomicroscopy (VLE) is an advanced imaging
modality used to detect Barrett's esophagus (BE) dysplasia. However, real-time …