Artificial intelligence (AI) is an epoch-making technology, among which the 2 most advanced parts are machine learning and deep learning algorithms that have been further developed by machine learning, and it has been partially applied to assist EUS diagnosis. AI-assisted EUS diagnosis has been reported to have great value in the diagnosis of pancreatic tumors and chronic pancreatitis, gastrointestinal stromal tumors, esophageal early cancer, biliary tract, and liver lesions. The application of AI in EUS diagnosis still has some urgent problems to be solved. First, the development of sensitive AI diagnostic tools requires a large amount of high-quality training data. Second, there is overfitting and bias in the current AI algorithms, leading to poor diagnostic reliability. Third, the value of AI still needs to be determined in prospective studies. Fourth, the ethical risks of AI need to be considered and avoided.

OBJECTIVE: Avoidant/restrictive food intake disorder (ARFID) is common among populations with nutrition-related medical conditions. Less is known about the medical comorbidity/complication frequencies in youth with ARFID. We evaluated the medical comorbidities and metabolic/nutritional markers among female and male youth with full/subthreshold ARFID across the weight spectrum compared with healthy controls (HC).
METHODS: In youth with full/subthreshold ARFID (n = 100; 49% female) and HC (n = 58; 78% female), we assessed self-reported medical comorbidities via clinician interview and explored abnormalities in metabolic (lipid panel and high-sensitive C-reactive protein [hs-CRP]) and nutritional (25[OH] vitamin D, vitamin B12, and folate) markers.
RESULTS: Youth with ARFID, compared with HC, were over 10 times as likely to have self-reported gastrointestinal conditions (37% vs. 3%; OR = 21.2; 95% CI = 6.2-112.1) and over two times as likely to have self-reported immune-mediated conditions (42% vs. 24%; OR = 2.3; 95% CI = 1.1-4.9). ARFID, compared with HC, had a four to five times higher frequency of elevated triglycerides (28% vs. 12%; OR = 4.0; 95% CI = 1.7-10.5) and hs-CRP (17% vs. 4%; OR = 5.0; 95% CI = 1.4-27.0) levels.
CONCLUSIONS: Self-reported gastrointestinal and certain immune comorbidities were common in ARFID, suggestive of possible bidirectional risk/maintenance factors. Elevated cardiovascular risk markers in ARFID may be a consequence of limited dietary variety marked by high carbohydrate and sugar intake.

Lactococcus garviae (L. garviae) is a gram-positive coccus belonging to the Streptococcaceae family. While primarily a pathogen in fish farms causing hemorrhagic sepsis, it can act as a rare opportunistic pathogen in humans. A 2021 case report by Bravo et al. documented less than 30 cases of infective endocarditis caused by L. garviae worldwide at that time [1]. This case report describes the 27th documented case globally and 7th documented case in the USA of L. garviae causing infective endocarditis of a prosthetic valve [1]. L. garviae is found in unpasteurized dairy products, raw fish, and meat (pork, beef, and poultry), but the route of human transmission remains unclear [3]. It seems to have a predilection for individuals with prosthetic valves, immunocompromised states, prior gastrointestinal surgery, gastrointestinal disorders (colon polyps and diverticulosis), and the use of acid-reducing medications [1-3]. Infective endocarditis is the most common systemic disease caused by L. garviae [1-4]. This report details the case of a 75-year-old male, with multiple comorbidities and risk factors for L. garviae infection who was admitted for \"symptomatic anemia\". High clinical suspicion, coupled with an inadequate hemoglobin response to transfusion, a normal anemia workup, and blood cultures positive for L. garviae, promoted a transesophageal echocardiogram (TEE). However, the results were negative. Consequently, an 18F-fluorodeoxyglucose positron emission tomography/computed tomography scan (18FDG PET/CT) was performed. The scan revealed increased uptake in the aortic valve replacement consistent with prosthetic valve endocarditis in the setting of Lactococcus garviae bacteremia.

UNASSIGNED: This study examined the relationship between gastrointestinal disease and post-traumatic stress disorder in U.S. military Veterans. Based on literature and clinical practice data sources from the U.S. Veterans Administration, gastrointestinal disease and post-traumatic stress disorder were hypothesized to be positively correlated in Veterans.
UNASSIGNED: This study aimed to determine the frequency with which gastrointestinal disease and post-traumatic stress disorder are diagnosed comorbidities, a diagnosis of gastrointestinal disease accompanies a diagnosis of post-traumatic stress disorder, and a diagnosis of post-traumatic stress disorder accompanies a diagnosis of a gastrointestinal disease.
UNASSIGNED: The methodology was a retrospective, correlational design using data collected from the U.S. Department of Veterans Affairs patient database.
UNASSIGNED: The results were that post-traumatic stress disorder is bi-directionally correlated with the gastrointestinal diseases of gastroesophageal reflux disease, peptic ulcer disease, functional dyspepsia, Crohn\'s disease, diverticular disease, irritable bowel syndrome, and the symptoms of constipation and nausea/vomiting within Veterans who served during wartime periods. The study also found that post-traumatic stress disorder is not correlated with ulcerative colitis in Veterans.
UNASSIGNED: The conclusions are that clinicians who see a presentation of post-traumatic stress disorder should be screening for gastrointestinal disease, while primary care and gastroenterology providers treating gastrointestinal disease should be screening for a history of trauma, as improved diagnosis rates may lead to improved treatment.

(1) Background: Irritable bowel syndrome (IBS) is a common disease in the gastrointestinal (GI) tract. Atractylodes macrocephala Koidz (AMK) is known as one of the traditional medicines that shows a good efficacy in the GI tract. (2) Methods: We investigated the effect of AMK in a network pharmacology and zymosan-induced IBS animal model. In addition, we performed electrophysiological experiments to confirm the regulatory mechanisms related to IBS. (3) Results: Various characteristics of AMK were investigated using TCMSP data and various analysis systems. AMK restored the macroscopic changes and weight to normal. Colonic mucosa and inflammatory factors were reduced. These effects were similar to those of amitriptyline and sulfasalazine. In addition, transient receptor potential (TRP) V1, voltage-gated Na+ (NaV) 1.5, and NaV1.7 channels were inhibited. (4) Conclusion: These results suggest that AMK may be a promising therapeutic candidate for IBS management through the regulation of ion channels.

Colonic inertia is a gastrointestinal disorder characterized by a significant delay in colon transit, resulting in chronic constipation that impedes an undisclosed percentage of individuals in the United States. This article aims to delve into the intricate mechanisms underlying the hindered transit observed in colonic inertia, focusing on multifactorial etiology and treatment. By gaining a better understanding of the pathophysiology of colonic inertia, we can improve the quality of life for individuals affected by this condition. Our study employs a comprehensive approach, combining clinical observation during pancolectomy, histopathological analyses performed by pathologists, and detailed investigation to unravel the complex interplay of factors affecting colonic motility.

UNASSIGNED: Large Language Models (LLMs) play a crucial role in clinical information processing, showcasing robust generalization across diverse language tasks. However, existing LLMs, despite their significance, lack optimization for clinical applications, presenting challenges in terms of illusions and interpretability. The Retrieval-Augmented Generation (RAG) model addresses these issues by providing sources for answer generation, thereby reducing errors. This study explores the application of RAG technology in clinical gastroenterology to enhance knowledge generation on gastrointestinal diseases.
UNASSIGNED: We fine-tuned the embedding model using a corpus consisting of 25 guidelines on gastrointestinal diseases. The fine-tuned model exhibited an 18% improvement in hit rate compared to its base model, gte-base-zh. Moreover, it outperformed OpenAI\'s Embedding model by 20%. Employing the RAG framework with the llama-index, we developed a Chinese gastroenterology chatbot named \"GastroBot,\" which significantly improves answer accuracy and contextual relevance, minimizing errors and the risk of disseminating misleading information.
UNASSIGNED: When evaluating GastroBot using the RAGAS framework, we observed a context recall rate of 95%. The faithfulness to the source, stands at 93.73%. The relevance of answers exhibits a strong correlation, reaching 92.28%. These findings highlight the effectiveness of GastroBot in providing accurate and contextually relevant information about gastrointestinal diseases. During manual assessment of GastroBot, in comparison with other models, our GastroBot model delivers a substantial amount of valuable knowledge while ensuring the completeness and consistency of the results.
UNASSIGNED: Research findings suggest that incorporating the RAG method into clinical gastroenterology can enhance the accuracy and reliability of large language models. Serving as a practical implementation of this method, GastroBot has demonstrated significant enhancements in contextual comprehension and response quality. Continued exploration and refinement of the model are poised to drive forward clinical information processing and decision support in the gastroenterology field.

BACKGROUND: Common marmosets (Callithrix jacchus) are widely used as primate experimental models in biomedical research. Duodenal dilation with chronic vomiting in captive common marmosets is a recently described life-threatening syndrome that is problematic for health control. However, the pathogenesis and cause of death are not fully understood.
METHODS: We report two novel necropsy cases in which captive common marmosets were histopathologically diagnosed with gastric emphysema (GE) and pneumatosis intestinalis (PI). Marmoset duodenal dilation syndrome was confirmed in each case by clinical observation of chronic vomiting and by gross necropsy findings showing a dilated, gas-filled and fluid-filled descending duodenum that adhered to the ascending colon. A diagnosis of GE and PI was made on the basis of the bubble-like morphology of the gastric and intestinal mucosa, with histological examination revealing numerous vacuoles diffused throughout the lamina propria mucosae and submucosa. Immunostaining for prospero homeobox 1 and CD31 distinguished gas cysts from blood and lymph vessels. The presence of hepatic portal venous gas in case 1 and possible secondary bacteremia-related septic shock in case 2 were suggested to be acute life-threatening abdominal processes resulting from gastric emphysema and pneumatosis intestinalis.
CONCLUSIONS: In both cases, the gross and histopathological findings of gas cysts in the GI tract walls matched the features of human GE and PI. These findings contribute to clarifying the cause of death in captive marmosets that have died of gastrointestinal diseases.

Organoid models have recently been utilized to study 3D human-derived tissue systems to uncover tissue architecture and adult stem cell biology. Patient-derived organoids unambiguously provide the most suitable in vitro system to study disease biology with the actual genetic background. With the advent of much improved and innovative approaches, patient-derived organoids can potentially be used in regenerative medicine. Various human tissues were explored to develop organoids due to their multifold advantage over the conventional in vitro cell line culture approach and in vivo models. Gastrointestinal (GI) tissues have been widely studied to establish organoids and organ-on-chip for screening drugs, nutraceuticals, and other small molecules having therapeutic potential. The function of channel proteins, transporters, and transmembrane proteins was also explained. The successful application of genome editing in organoids using the CRISPR-Cas approach has been reported recently. GI diseases such as Celiac disease (CeD), Inflammatory bowel disease (IBD), and common GI cancers have been investigated using several patient-derived organoid models. Recent advancements on organoid bio-banking and 3D bio-printing contributed significantly in personalized disease management and therapeutics. This article reviews the available literature on investigations and translational applications of patient-derived GI organoid models, notably on elucidating gut-microbial interaction and epigenetic modifications.

An idiopathic condition known as inflammatory bowel disease (IBD) is characterized by a dysregulated immune response to the intestinal flora of the host. It falls into one of two primary categories: ulcerative colitis or Crohn\'s disease. A wide range of disorders, both clinically and genetically, can cause IBD. The purpose of this thorough analysis is to determine the significance and reliability of the correlation between perinuclear antineutrophil cytoplasmic antibodies (p-ANCA) and IBD, as well as the implications of this correlation for the diagnosis and treatment of IBD. Ten pertinent studies were identified from a starting pool of 20 articles in this systematic review, which was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. These studies addressed treatment, complications, limitations, and outcome in addition to the presence or lack of p-ANCA in patients with IBD. In conclusion, p-ANCA is more strongly linked to inflammatory bowel illness than Crohn\'s disease, primarily ulcerative colitis. Some evidence suggests that there is a decrease in p-ANCA to some extent with medical or surgical interventions, but the exact intervention is not yet clear. There is less evidence suggesting that the medical or surgical treatments used in patients with IBD cause an increase or decrease in p-ANCA.