Recent studies have found that significant fractions of colonoscopists possess adequate detection of conventional adenomas, as measured by adenoma detection rate (ADR), but low detection

Current recommendations suggest measuring the adenoma detection rate (ADR) in first-time screening colonoscopies. Several studies have found that including surveillance and diagnostic colonoscopies in an

In a systematic review and meta-analysis, 15 studies evaluating the impact of report cards on adenoma detection rate (ADR) were among the 34 studies that

This study from the Northern California Kaiser Permanente health care system evaluated the impact of a 30-minute online interactive training program collaboratively developed by endoscopists,

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,

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

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

Investigators evaluated 30,897 individuals with baseline polypectomy and at least 1 surveillance colonoscopy between 2004 and 2016 across 73 Veterans Administration sites in the U.S.,

Current recommendations are that minimum withdrawal times in screening colonoscopy that are negative should average at least 6 minutes.  In an analysis of a previously

It is well known that the prevalence of adenomas is higher in patients with a positive result from a stool test, including both the fecal

In the first report of incidence and mortality results from a randomized controlled trial (RCT) comparing colonoscopy with no screening, 84,585 previously unscreened persons aged

The second-generation Endocuff (Olympus America, Center Valley, Penn, USA) is called Endocuff Vision (ECV). It differs from the original Endocuff by having only a single

This study examined the fraction of patients undergoing colonoscopy with versus without artificial intelligence (AI) in 9 randomized controlled trials (6 parallel and 3 tandem)

This study identified 5 randomized controlled trials that addressed the value of a second right-sided colon examination in the forward view versus no second examination.

This is a study of detection indicators in 13,067 fecal immunochemical test (FIT)-positive colonoscopies performed by 80 community gastroenterologists. The cutoff for FIT positivity was

This study looked at a large health care system’s first-time screening colonoscopies from the period October 2017 through December 2018, prior to the American Cancer

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

This is a meta-analysis of 12 eligible randomized controlled trials with a total of 4165 patients that compared the effect of education using a smartphone

The adenoma detection rate (ADR) predicts the incidence of interval cancer after colonoscopy. Although ADR correlates in retrospective studies with other detection measures, it is

According to 2014-2020 data from the GI Quality Improvement Consortium (GIQuIC) Registry, 2.81 million screening colonoscopies were performed by 814 endoscopists in patients aged 45

Endocuff Vision (ECV; Olympus America, Center Valley, Pa) has produced adenoma detection rate (ADR) gains in randomized controlled trials, but it has not received widespread

The adenoma detection rate (ADR), first recommended by the U.S. Multi-Society Task Force on Colorectal Cancer in 2002, is a validated predictor of colorectal cancer

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

When the adenoma detection rate (ADR) was originally proposed as a quality measure in 2002, the recommendation did not constrain its indication to screening colonoscopies

In this study, the risk of interval cancer was compared between doctors with high (≥20%) versus low (<20%) adenoma detection rates (ADRs) in the Polish