Publications by authors named "Amanda Cartee"

Article Synopsis
  • The study investigates how an artificial intelligence (AI) tool improves the detection of colorectal polyps during colonoscopy, particularly for patients with poor bowel preparation.
  • Using a case-control design and propensity score matching, researchers analyzed data from 2017 to 2023 to compare colonoscopies performed with and without AI assistance.
  • Results show that AI significantly increased the detection rates of various types of polyps, especially in patients with inadequate preparation, highlighting its potential role in enhancing colonoscopy outcomes.
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Article Synopsis
  • - The study aimed to analyze how general endoscopists' ability to predict the histologic features of small colorectal polyps improved when using a computer-aided diagnosis (CADx) system during real-life colonoscopies in the U.S.
  • - Results showed that while both unassisted and CADx-assisted predictions had similar sensitivity (around 90%), the assisted group's specificity was significantly higher, allowing more polyps to be resected or left untreated.
  • - Despite the benefits seen in a clinical setting, the study noted that the use of CADx might not yield the same results in other real-world scenarios.
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Background & Aims: Celiac disease can develop at any age, but outcomes of adults with positive results from serologic tests for tissue transglutaminase antibodies (tTGA) without endoscopic determination of celiac disease (called celiac autoimmunity) have not been thoroughly evaluated. We investigated the proportion of adults with celiac autoimmunity at a community medical center and their progression to celiac disease.

Methods: We analyzed waste blood samples from a community clinic from 15,551 adults for tTGA and, if titer results were above 2 U/mL, for endomysial antibody.

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Objectives: To investigate the recent incidence of T1D in a US Midwestern county to determine whether this increase has been sustained and compare it with the incidence of celiac disease (CD) and also investigate the prevalence of CD, an associated autoimmune disease, within the cohort.

Patients And Methods: A broad search strategy was used to identify all incident cases of T1D in Olmsted County, Minnesota, between January 1, 1994, and December 31, 2010, using the Rochester Epidemiology Project. Diagnosis and residency status were confirmed through the medical record.

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Background/aims: Many medications can cause diarrhea by increasing motility, inflammation or enteropathy. Olmesartan and mycophenolic acid (CellCept) are drugs that are capable of increasing inflammation and enteropathy in some individuals and, if not recognized, can lead to chronic diarrhea. It is this type of drug-induced diarrhea that is the focus of this review.

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