Early detection of esophageal cancer is limited by accurate endoscopic diagnosis of subtle
macroscopic lesions. Endoscopic interpretation is subject to expertise, diagnostic skill, and …

Background Several pre-clinical studies have reported the usefulness of artificial
intelligence (AI) systems in the diagnosis of esophageal squamous cell carcinoma (ESCC) …

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

Esophageal cancer is a major cause of cancer-related mortality worldwide, with significant
regional disparities. Early detection of precursor lesions is essential to improve patient …

The past decade has seen significant advances in endoscopic imaging and optical
enhancements to aid early diagnosis. There is still a treatment gap due to the …

Background: Over the past decade, several artificial intelligence (AI) systems are developed
to assist in endoscopic assessment of (pre-) cancerous lesions of the gastrointestinal (GI) …

Esophageal cancer (EC) is a common malignant tumor of the digestive tract and originates
from the epithelium of the esophageal mucosa. It has been confirmed that early EC lesions …

Background Artificial intelligence (AI) has recently been applied to endoscopy and
questionnaires for the evaluation of oesophageal diseases (ODs). Aim We performed a …

There have been numerous technologic advances in upper endoscopy in recent years, with
an emphasis on early diagnostics. Still, the incidence of esophageal cancer has continued …

In the gastroenterology field, the impact of artificial intelligence was investigated for the
purposes of diagnostics, risk stratification of patients, improvement in quality of endoscopic …