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
Artificial Intelligence
Artificial Intelligence
New AI Can Tell Normal From Abnormal Colon Biopsies, Would Reduce Pathology Workload
Artificial Intelligence Beats General Endoscopists for the Detection of Barrett’s Neoplasia
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
Artificial Intelligence Can Help Extract Dysplasia Diagnoses From Electronic Health Records
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 Increased Adenoma and Advanced Adenoma Detection Rates in Multicenter Randomized Controlled Trial
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 Detection Program Assessment by a High Detector: Improved Adenoma Detection Rate, but Some Misses of Large, Flat Lesions
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
Artificial Intelligence False Positives in Colonoscopy Are Not Time Consuming
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
Study Suggests Computer-Aided Quality Assurance More Important Than Computer-Aided Detection in Polyp Detection
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 Similar to Expert Endoscopists at Differentiating Between Mucosal and Submucosal Barrett’s Cancer
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
Artificial Intelligence Improves Detection, Regardless of Endoscopist Experience
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 Accurately Identifies Esophageal Lesions
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
Artificial Intelligence for the Other Half of Detection at Colonoscopy
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
Artificial Intelligence Could Help Early Discharge of Patients With UGI Bleeding
Prateek Sharma, MD, FASGE reviewing Shung DL, et al. Gastroenterology 2019 Sep 25. A number of clinical scoring systems (eg, the Glasgow-Blatchford, Rockall, and AIMS65)
