Scholars@Duke
Jeremy Glissen Brown

Jeremy Glissen Brown

Assistant Professor of Medicine
Medicine, Gastroenterology
jeremy.glissenbrown@duke.edu
Duke Endoscopy Clinic - Clinic, 40 Duke Medicine Cir, Durham, NC 27710

Selected Publications

Creating a standardized tool for the evaluation and comparison of artificial intelligence-based computer-aided detection programs in colonoscopy: a modified Delphi approach.

Journal Article Gastrointest Endosc · November 26, 2024 BACKGROUND AND AIMS: Multiple computer-aided detection (CADe) software programs have now achieved regulatory approval in the United States, Europe, and Asia and are being used in routine clinical practice to support colorectal cancer screening. There is un ... Full text Link to item Cite

Colonoscopy Quality, Innovation, and the Assessment of New Technology

Journal Article Techniques and Innovations in Gastrointestinal Endoscopy · January 1, 2024 Colonoscopy serves a vital role in screening and surveillance for colorectal cancer and has seen incredible innovations in the past several decades. Amidst a growing landscape of emerging technologies, it has become increasingly critical to develop a proce ... Full text Cite

Evaluation of the Potential Utility of an Artificial Intelligence Chatbot in Gastroesophageal Reflux Disease Management.

Journal Article Am J Gastroenterol · December 1, 2023 INTRODUCTION: Artificial intelligence chatbots could serve as an information resource for patients and a tool for clinicians. Their ability to respond appropriately to questions regarding gastroesophageal reflux disease is unknown. METHODS: Twenty-three pr ... Full text Link to item Cite

Steroid Use and Risk of Nonalcoholic Fatty Liver Disease in Patients With Inflammatory Bowel Disease: Systematic Review and Meta-analysis.

Journal Article J Clin Gastroenterol · July 1, 2023 GOALS: We sought to evaluate the association of steroids with nonalcoholic fatty liver disease (NAFLD) among patients with inflammatory bowel disease (IBD). BACKGROUND: Patients with IBD are at increased risk of NAFLD. Steroids may have a role in the patho ... Full text Link to item Cite

Speedometer for withdrawal time monitoring during colonoscopy: a clinical implementation trial.

Journal Article Scand J Gastroenterol · June 2023 OBJECTIVES: Meticulous inspection of the mucosa during colonoscopy, represents a lengthier withdrawal time, but has been shown to increase adenoma detection rate (ADR). We investigated if artificial intelligence-aided speed monitoring can improve suboptima ... Full text Link to item Cite

Impact of Artificial Intelligence on Colonoscopy Surveillance After Polyp Removal: A Pooled Analysis of Randomized Trials.

Journal Article Clin Gastroenterol Hepatol · April 2023 BACKGROUND AND AIMS: Artificial intelligence (AI) tools aimed at improving polyp detection have been shown to increase the adenoma detection rate during colonoscopy. However, it is unknown how increased polyp detection rates by AI affect the burden of pati ... Full text Link to item Cite

Examining the Nocebo Effect in Trials of Neuromodulators for Use in Disorders of Gut-Brain Interaction.

Journal Article Am J Gastroenterol · April 1, 2023 INTRODUCTION: Nocebo effects are believed to influence the rate of reported adverse events (AE) and subject withdrawal in both the treatment and placebo groups of randomized clinical trials (RCT). Neuromodulators are commonly prescribed to treat disorders ... Full text Link to item Cite

Impact of second-generation transoral incisionless fundoplication on atypical GERD symptoms: a systematic review and meta-analysis.

Journal Article Gastrointest Endosc · March 2023 BACKGROUND AND AIMS: Transoral incisionless fundoplication (TIF) using the EsophyX device (EndoGastric Solutions, Inc, Redmond, Wash, USA) is a minimally invasive endoscopic fundoplication technique. Our study aimed to assess the efficacy of TIF for atypic ... Full text Link to item Cite

Association Between Opioid Use and Outpatient Visits for Dysphagia: An Analysis of the National Ambulatory Medical Care Survey in 2008-2018.

Journal Article Clin Transl Gastroenterol · March 1, 2023 INTRODUCTION: Opioid-induced esophageal dysfunction has been described with characteristic manometric patterns, but the population burden of dysphagia attributable to opioid use remains unclear. METHODS: The National Ambulatory Medical Care Survey from 200 ... Full text Link to item Cite

Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial).

Journal Article Clin Gastroenterol Hepatol · July 2022 BACKGROUND & AIMS: Artificial intelligence-based computer-aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect of CADe during screening and surveillance colonoscopy has not previously been s ... Full text Link to item Cite

Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopy.

Journal Article World J Gastrointest Oncol · May 15, 2022 Artificial intelligence (AI) is a quickly expanding field in gastrointestinal endoscopy. Although there are a myriad of applications of AI ranging from identification of bleeding to predicting outcomes in patients with inflammatory bowel disease, a great d ... Full text Link to item Cite

Charting a path forward for clinical research in artificial intelligence and gastroenterology.

Journal Article Dig Endosc · January 2022 Gastroenterology has been an early leader in bridging the gap between artificial intelligence (AI) model development and clinical trial validation, and in recent years we have seen the publication of several randomized clinical trials examining the role of ... Full text Link to item Cite

Preloaded 22-gauge fine-needle system facilitates placement of a higher number of fiducials for image-guided radiation therapy compared with traditional backloaded 19-gauge approach.

Journal Article Gastrointest Endosc · November 2021 BACKGROUND AND AIMS: Image-guided radiation therapy (IGRT) often relies on EUS-guided fiducial markers. Previously used manually backloaded fiducial needles have multiple potential limitations including safety and efficiency concerns. Our aim was to evalua ... Full text Link to item Cite

Adoption of New Technologies: Artificial Intelligence.

Journal Article Gastrointest Endosc Clin N Am · October 2021 Over the past decade, artificial intelligence (AI) has been broadly applied to many aspects of human life, with recent groundbreaking successes in facial recognition, natural language processing, autonomous driving, and medical imaging. Gastroenterology ha ... Full text Link to item Cite

Benchmarking definitions of false-positive alerts during computer-aided polyp detection in colonoscopy.

Journal Article Endoscopy · September 2021 BACKGROUND: The occurrence of false-positive alerts is an important outcome measure in computer-aided colon polyp detection (CADe) studies. However, there is no consensus definition of a false positive in clinical trials evaluating CADe in colonoscopy. We ... Full text Link to item Cite

Reply.

Journal Article Gastroenterology · May 2021 Full text Link to item Cite

Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study.

Journal Article Gastroenterology · October 2020 BACKGROUND AND AIMS: Up to 30% of adenomas might be missed during screening colonoscopy-these could be polyps that appear on-screen but are not recognized by endoscopists or polyps that are in locations that do not appear on the screen at all. Computer-aid ... Full text Link to item Cite

Regulatory considerations for artificial intelligence technologies in GI endoscopy.

Journal Article Gastrointest Endosc · October 2020 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 performan ... Full text Link to item Cite

Effectiveness of a Deep-learning Polyp Detection System in Prospectively Collected Colonoscopy Videos With Variable Bowel Preparation Quality.

Journal Article J Clin Gastroenterol · July 2020 BACKGROUND: Colonoscopy is the gold standard for polyp detection, but polyps may be missed. Artificial intelligence (AI) technologies may assist in polyp detection. To date, most studies for polyp detection have validated algorithms in ideal endoscopic con ... Full text Link to item Cite

Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.

Journal Article Lancet Gastroenterol Hepatol · April 2020 BACKGROUND: Colonoscopy with computer-aided detection (CADe) has been shown in non-blinded trials to improve detection of colon polyps and adenomas by providing visual alarms during the procedure. We aimed to assess the effectiveness of a CADe system that ... Full text Link to item Cite

The single-monitor trial: an embedded CADe system increased adenoma detection during colonoscopy: a prospective randomized study.

Journal Article Therap Adv Gastroenterol · 2020 BACKGROUND: Computer-aided detection (CADe) of colon polyps has been demonstrated to improve colon polyp and adenoma detection during colonoscopy by indicating the location of a given polyp on a parallel monitor. The aim of this study was to investigate wh ... Full text Link to item Cite

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study.

Journal Article Gut · October 2019 OBJECTIVE: The effect of colonoscopy on colorectal cancer mortality is limited by several factors, among them a certain miss rate, leading to limited adenoma detection rates (ADRs). We investigated the effect of an automatic polyp detection system based on ... Full text Link to item Cite

Coeliac disease.

Journal Article Paediatr Int Child Health · February 2019 Coeliac disease (CD) develops in genetically susceptible individuals who, in response to unclear environmental triggers, develop an immune response triggered by gluten ingestion. It is now recognised as a global disease affecting about 0.7% of the world's ... Full text Link to item Cite

Artificial intelligence in gastrointestinal endoscopy: The future is almost here.

Journal Article World J Gastrointest Endosc · October 16, 2018 Artificial intelligence (AI) enables machines to provide unparalleled value in a myriad of industries and applications. In recent years, researchers have harnessed artificial intelligence to analyze large-volume, unstructured medical data and perform clini ... Full text Link to item Cite

Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy.

Journal Article Nat Biomed Eng · October 2018 The detection and removal of precancerous polyps via colonoscopy is the gold standard for the prevention of colon cancer. However, the detection rate of adenomatous polyps can vary significantly among endoscopists. Here, we show that a machine-learning alg ... Full text Link to item Cite

Chronic Abdominal Wall Pain: An Under-Recognized Diagnosis Leading to Unnecessary Testing.

Journal Article J Clin Gastroenterol · 2016 Chronic abdominal wall pain (CAWP) refers to a condition wherein pain originates from the abdominal wall itself rather than the underlying viscera. According to various estimates, 10% to 30% of patients with chronic abdominal pain are eventually diagnosed ... Full text Link to item Cite