Large language models: a primer and gastroenterology applications.

Link: https://doi.org/10.1177/17562848241227031 Authors: Shahab, Omer; El Kurdi, Bara; Shaukat, Aasma; Nadkarni, Girish; Soroush, Ali Abstract: Over the past year, the emergence of state-of-the-art large language models (LLMs) in tools like ChatGPT has ushered in a rapid acceleration in artificial intelligence (AI) innovation. These powerful AI models can generate tailored and high-quality text responses to instructions…

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Evaluating the role of ChatGPT in gastroenterology: a comprehensive systematic review of applications, benefits, and limitations.

Link: https://doi.org/10.1177/17562848231218618 Authors: Klang, Eyal; Sourosh, Ali; Nadkarni, Girish N; Sharif, Kassem; Lahat, Adi Abstract: The integration of artificial intelligence (AI) into healthcare has opened new avenues for enhancing patient care and clinical research. In gastroenterology, the potential of AI tools, specifically large language models like ChatGPT, is being explored to understand their utility and…

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Deep 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…

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Effects of Mirikizumab on Histologic Resolution of Crohn’s Disease in a Randomized Controlled Phase 2 Trial.

Link: https://doi.org/10.1016/j.cgh.2023.11.010 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…

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Discrepancy between predicted and measured exercise intensity for eliciting the maximal rate of lipid oxidation.

Link: https://doi.org/S0939-4753(23)00283-1 Authors: Kittrell, Hannah D; DiMenna, Fred J; Arad, Avigdor D; Oh, Wonsuk; Hofer, Ira; Walker, Ryan W; Loos, Ruth J F; Albu, Jeanine B; Nadkarni, Girish N Abstract: Our results indicate that estimated “fat-burning” heart rate zones are inappropriate for prescribing exercise to elicit MLO and we recommend direct individual exercise lipid oxidation…

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Natural 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…

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Maternal metabolic, immune, and microbial systems in late pregnancy vary with malnutrition in mice.

Link: https://doi.org/10.1093/biolre/ioy002 Authors: Connor, Kristin L; Chehoud, Christel; Altrichter, Adam; Chan, Luisa; DeSantis, Todd Z; Lye, Stephen J Abstract: Malnutrition is a global threat to pregnancy health and impacts offspring development. Establishing an optimal pregnancy environment requires the coordination of maternal metabolic and immune pathways, which converge at the gut. Diet, metabolic, and immune dysfunctions…

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Incidence, prevalence and mortality of chronic periaortitis: a population-based study.

Link: https://doi.org/10.55563/clinexprheumatol/0v8l4j Authors: Koster, Matthew J; Ghaffar, Umar; Duong, Stephanie Q; Crowson, Cynthia S; Burke, Michelle M; Viers, Boyd R; Potretzke, Aaron M; Bjarnason, Haraldur; Warrington, Kenneth J Abstract: To evaluate the epidemiology, presentation and outcomes of patients with chronic periaortitis from 1998 through 2018. An inception cohort of patients with incident chronic periaortitis from…

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