Posts Tagged ‘Gastroenterology’
Physiological Data Collected From Wearable Devices Identify and Predict Inflammatory Bowel Disease Flares.
Link: https://doi.org/10.1053/j.gastro.2024.12.024 Authors: Hirten, Robert P; Danieletto, Matteo; Sanchez-Mayor, Milagros; Whang, Jessica K; Lee, Kyung Won; Landell, Kyle; Zweig, Micol; Helmus, Drew; Fuchs, Thomas J; Fayad, Zahi A; Nadkarni, Girish N; Keefer, Laurie; Suarez-Farinas, Mayte; Sands, Bruce E Abstract: Wearable devices capture physiological signals noninvasively and passively. Many of these parameters have been linked to…
Read MoreDeep Learning and Gastric Cancer: Systematic Review of AI-Assisted Endoscopy.
Link: https://doi.org/10.3390/diagnostics13243613 Authors: Klang, Eyal; Sourosh, Ali; Nadkarni, Girish N; Sharif, Kassem; Lahat, Adi Abstract: Gastric cancer (GC), a significant health burden worldwide, is typically diagnosed in the advanced stages due to its non-specific symptoms and complex morphological features. Deep learning (DL) has shown potential for improving and standardizing early GC detection. This systematic review…
Read MoreEffects of Mirikizumab on Histologic Resolution of Crohn’s Disease in a Randomized Controlled Phase 2 Trial.
Link: https://doi.org/S1542-3565(23)00948-5 Authors: Magro, Fernando; Protic, Marijana; De Hertogh, Gert; Chan, Lai Shan; Pollack, Paul; Jairath, Vipul; Carlier, Hilde; Hon, Emily; Feagan, Brian G; Harpaz, Noam; Pai, Rish; Reinisch, Walter Abstract: Histologic evaluation of mucosal healing in Crohn’s disease is an evolving treatment target. We evaluated histologic outcomes for mirikizumab efficacy and associations with endoscopic…
Read MoreNatural Language Processing Can Automate Extraction of Barrett’s Esophagus Endoscopy Quality Metrics.
Link: https://doi.org/10.1101/2023.07.11.23292529 Authors: Soroush, Ali; Diamond, Courtney J; Zylberberg, Haley M; May, Benjamin; Tatonetti, Nicholas; Abrams, Julian A; Weng, Chunhua Abstract: To develop an automated natural language processing (NLP) method for extracting high-fidelity Barrett’s Esophagus (BE) endoscopic surveillance and treatment data from the electronic health record (EHR). Patients who underwent BE-related endoscopies between 2016 and…
Read MorePotential kidney toxicity from the antiviral drug tenofovir: new indications, new formulations, and a new prodrug.
Link: https://doi.org/10.1097/MNH.0000000000000392 Authors: Chan, Lili; Asriel, Benjamin; Eaton, Ellen F; Wyatt, Christina M Abstract: The antiviral agent tenofovir is highly effective for the treatment of HIV and hepatitis B virus infections, and the older prodrug tenofovir disoproxil fumarate (TDF) is also a component of daily preexposure prophylaxis (PrEP) to reduce the risk of HIV infection…
Read MoreVisual Analytics to Leverage Anesthesia Electronic Health Record.
Link: https://doi.org/10.1213/ANE.0000000000006175 Authors: Kahn, Ronald A; Gal, Jonathan S; Hofer, Ira S; Wax, David B; Villar, Joshua I; Levin, Mathew A Abstract: Visual analytics is the science of analytical reasoning supported by interactive visual interfaces called dashboards. In this report, we describe our experience addressing the challenges in visual analytics of anesthesia electronic health record…
Read MoreIncreasing Prevalence of Frailty and Its Association with Readmission and Mortality Among Hospitalized Patients with IBD.
Link: https://doi.org/10.1007/s10620-020-06746-w Authors: Faye, Adam S; Wen, Timothy; Soroush, Ali; Ananthakrishnan, Ashwin N; Ungaro, Ryan; Lawlor, Garrett; Attenello, Frank J; Mack, William J; Colombel, Jean-Frederic; Lebwohl, Benjamin Abstract: Although age is often used as a clinical risk stratification tool, recent data have suggested that adverse outcomes are driven by frailty rather than chronological age. In…
Read MoreAugmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.
Link: https://doi.org/S1386-5056(19)30269-2 Authors: Van Vleck, Tielman T; Chan, Lili; Coca, Steven G; Craven, Catherine K; Do, Ron; Ellis, Stephen B; Kannry, Joseph L; Loos, Ruth J F; Bonis, Peter A; Cho, Judy; Nadkarni, Girish N Abstract: Electronic health record (EHR) systems contain structured data (such as diagnostic codes) and unstructured data (clinical documentation). Clinical insights…
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