- Recently, the use of computer-aided detection (CADe) for colonoscopy has been investigated to improve the adenoma detection rate (ADR). We aimed to assess the efficacy of a regulatory-approved CADe in a large-scale study with high numbers of patients and endoscopists.
- The term “artificial intelligence” (AI) is used to describe machines that think like humans. It was coined by the computer scientist John McCarthy at the 1956 Dartmouth workshop in the United States. Although there is no fixed definition, AI is the simulation of human intelligence processes by machines, especially computer systems. Image recognition, a type of pattern recognition technology that uses the features of images and videos to identify objects, is one field of AI research. AI image recognition has advanced significantly since the development of convolutional neural networks (CNN), a typical method of deep learning (a type of machine learning).
- Colonoscopy is a durable cancer screening and prevention strategy in the United States and worldwide. Over the past several years, there has been increased attention toward the development and study of artificial intelligence (AI)-based computer-aided detection (CADe) systems for colonoscopy to augment polyp detection by the endoscopist during screening and surveillance colonoscopy.
- Gastric precancerous conditions, including gastric atrophy (GA) and intestinal metaplasia (IM), play an important role in the development of gastric cancer. Image-enhanced endoscopy (IEE) shows great potential in diagnosing gastric precancerous conditions and adenocarcinoma. In this study, a deep convolutional neural network system, named ENDOANGEL, was constructed to detect gastric precancerous conditions by IEE.
- The endoscopic literature is currently overwhelmed by publications on machine learning: “the use of mathematical algorithms (often nicknamed as artificial intelligence) for capturing structure in endoscopic images.”1
- Quality improvement in colorectal cancer screening and surveillance by colonoscopy is based on the assumption that an increase in adenoma detection rate (ADR) has the potential to decrease the risk of colorectal cancer. Techniques and technologies to improve ADR evaluated in a recent network meta-analysis1 included add-on devices (cap, endocuff, endoring, G-EYE), enhanced imaging techniques (chromoendoscopy, narrow-band imaging, flexible spectral imaging color enhancement, blue laser imaging), new endoscopes (full-spectrum endoscopy, extra-wide-angle-view colonoscopy, dual focus), and low-cost optimizing of existing resources (water-aided colonoscopy, second observer, dynamic position change), alone or in combination with high-definition colonoscopy or each other.
- The endoscopic evaluation of narrow-band imaging (NBI) zoom imagery in Barrett’s esophagus (BE) is associated with suboptimal diagnostic accuracy and poor interobserver agreement. Computer-aided diagnosis (CAD) systems may assist endoscopists in the characterization of Barrett’s mucosa. Our aim was to demonstrate the feasibility of a deep-learning CAD system for tissue characterization of NBI zoom imagery in BE.
- Artificial intelligence (AI) technologies in clinical medicine have become the subject of intensive investigative efforts and popular attention. In domains ranging from pathology to radiology, AI has demonstrated the potential to improve clinical performance and efficiency. In gastroenterology, AI has been applied on multiple fronts, with particular progress seen in the areas of computer-aided polyp detection (CADe) and computer-aided polyp diagnosis (CADx), to assist gastroenterologists during colonoscopy.
- One wonders whether Gavriel Iddan truly realized what an impact his invention of wireless capsule endoscopy (CE) would have in the world of GI endoscopy.1 Since its official release in 2001, it has revolutionized the management of small-bowel diseases, including GI bleeding, Crohn’s disease, abnormal radiologic imaging, polyposis syndromes, and celiac disease. Furthermore, the advent of balloon enteroscopy to “chase” the findings of small-bowel CE has brought a very powerful solution to occult GI bleeding.