In some countries, pathologists and pathology departments are overworked. A number of artificial intelligence (AI) programs have shown substantial accuracy in interpretation of whole slide

This study examined the quality of answers provided by ChatGPT (OpenAI, San Francisco, Calif) to 8 common questions about colonoscopy, compared with answers to the

Colonoscopy is often recommended after an episode of acute diverticulitis, particularly complicated diverticulitis, and when no colonoscopy was performed the previous year. Colonoscopy in prior

Subtle surface changes associated with early-stage esophageal squamous cell cancer (ESCC) can be difficult to detect during standard endoscopy. The primary aim of this study

This study assessed 94 randomized controlled trials with 61,172 patients to determine how artificial intelligence (AI) impacts the adenoma detection rate (ADR). In short, AI

Barrett’s esophagus (BE) is a precancerous condition that can lead to the development of dysplasia and esophageal adenocarcinoma (neoplasia). Since neoplasia can present as subtle

Natural language processing (NLP) is a branch of artificial intelligence (AI) systems that involves teaching computers the ability to understand written text like how humans

Artificial intelligence (AI) has been shown to increase adenoma detection rates (ADRs) by an average of about 10% in randomized controlled trials (RCTs). Meta-analyses of

Artificial intelligence (AI) programs for computer-aided detection (CADe) of colorectal polyps have increased adenoma detection rates (ADR) by about 10% in parallel randomized trials and

In a randomized tandem study of 230 patients, the adenoma miss rate (AMR) was lower at 15.5% when colonoscopy with artificial intelligence (AI) was performed

Computer-aided detection (CADe), or artificial intelligence (AI), programs are now commercially available and have been shown to increase the adenoma detection rate. These AI programs

Artificial intelligence (AI) that highlights lesions seen at endoscopy is called computer-aided detection (CADe) or detection software. Computer-aided quality (CAQ) programs assess the completeness of

Artificial intelligence (AI) systems using convolutional neural networks have been developed to differentiate between esophageal cancer (EAC), high-grade dysplasia, and nondysplastic Barrett’s esophagus. However, until

Five randomized controlled trials (4 from China and 1 from Europe and the U.S.) have demonstrated that artificial intelligence (AI) increases the adenoma detection rate

Artificial intelligence (AI) studies for detecting and differentiating gastrointestinal lesions are on the rise. Various groups have developed a multitude of machine-learning algorithms to accurately

In a study from 7 centers in Japan, a deep learning artificial intelligence (AI) program trained on 3134 T1 colorectal cancers (CRCs) from 6 Japanese

Douglas K. Rex, MD, FASGE, reviewing Thakkar S, et al. Gastroenterology 2020 Jan 13. Assuming that a colonoscopist knows what precancerous lesions look like, high-level