In a randomized trial, 1316 patients underwent colonoscopy with either computer-aided detection (CADe) assistance alone or CADe plus Endocuff Vision (ECV; Olympus America, Center Valley,
computer-aided detection
computer-aided detection
Endocuff Vision Enhances Detection in CADe-Assisted Colonoscopy
CADe Fails To Improve Polyp Detection in Community-Based Randomized Controlled Trial
The overwhelming majority of randomized trials testing the impact of computer-aided detection (CADe) programs have shown substantial benefits. In a randomized controlled trial in 4
Another Real-World U.S. Trial of Computer-Aided Detection Fails To Impress
Randomized controlled trials (RCTs) have generally shown consistent improvements in adenoma detection rates (ADRs) with the use of computer-aided detection (CADe) during colonoscopy, but a
Artificial Intelligence Continues To Be Impressive for Characterization of Barrett’s Neoplasia
Barrett’s esophagus (BE)-related neoplasia is frequently missed during upper endoscopy, and characterization of mucosal changes may help in its detection. The primary aim of this
Computer-aided Detection Failed in Pragmatic Trial in Clinical Practice
Computer-aided detection (CADe) programs are expensive to implement in clinical practice; therefore, endoscopy groups often want to trial the programs before purchase or lease. In
Computer-aided Detection Said To Fail in Randomized Controlled Trial, but It Actually Performed Well
Artificial intelligence programs for highlighting or detecting polyps during colonoscopy are designated computer-aided detection (CADe) programs. In general, randomized controlled trials of CADe have been
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 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
Computer-Aided Detection Improves Adenoma Detection Rate and Adenomas Per Colonoscopy in Fecal Immunochemical Test-Positive Patients
In parallel-arm randomized trials involving mostly primary screening and surveillance colonoscopy patients, computer-aided detection (CADe) has increased the adenoma detection rate (ADR) by about 10%.
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
