Muscle cramps are among the common debilitating complications of liver cirrhosis. Since this complication lacks effective treatments, we aimed to evaluate the effectiveness of L-carnitine supplementation in reducing the frequency, duration, and severity of muscle cramps in patients with liver cirrhosis.

Computed tomography (CT) colonography is increasingly recognized as a valuable modality for diagnosing colorectal lesions, however, the interpretation workload remains challenging for physicians. Deep learning-based artificial intelligence (AI) algorithms have been employed for imaging diagnoses. In this study, we examined the sensitivity of neoplastic lesions in CT colonography images.

With the rising incidence of MASLD, extensive drug research has been conducted in clinical trials. The study examined the design principles and research objectives of MASLD therapeutics, in order to offer guidance to clinical trial participants and decision makers.

Colonoscopy, a crucial procedure for detecting and removing colorectal polyps, has seen transformative advancements through the integration of artificial intelligence, specifically in computer-aided detection (CADe) and diagnosis (CADx). These tools enhance real-time detection and characterization of lesions, potentially reducing human error, and standardizing the quality of colonoscopy across endoscopists. CADe has proven effective in increasing adenoma detection rate, potentially reducing long-term colorectal cancer incidence. However, CADe's benefits are accompanied by challenges, such as potentially longer procedure times, increased non-neoplastic polyp resections, and a higher surveillance burden. CADx, although promising in differentiating neoplastic and non-neoplastic diminutive polyps, encounters limitations in accuracy, particularly in the proximal colon. Real-world data also revealed gaps between trial efficacy and practical outcomes, emphasizing the need for further research in uncontrolled settings. Moreover, CADx limited specificity and binary output underscore the necessity for explainable artificial intelligence to gain endoscopists' trust. This review aimed to explore the benefits, harms, and limitations of artificial intelligence for colon cancer screening, surveillance, and treatment focusing on CADe and CADx systems for lesion detection and characterization, respectively, while addressing challenges in integrating these technologies into clinical practice.

Gastrointestinal infections represent a worldwide public health problem. In Colombia, the incidence reaches 21.4 cases per 1,000 inhabitants. Given the limitations of traditional diagnostic methods in terms of sensitivity and specificity, the gastrointestinal panel (GIP) has emerged as a promising tool, allowing rapid detection of 22 pathogens. This study aimed to describe the clinical and microbiological characteristics of immunosuppressed and immunocompetent adult patients with diarrhea and the influence of the gastrointestinal panel in their treatment in a high-complexity hospital in Colombia.

Gastric cancer (GC) is a pressing global health concern, with prognosis intricately linked to the tumour stage and tumour microenvironment, especially, the presence of immune cells. Notably, CD8 + T cells play a pivotal role in the anti-tumour immune response, prompting investigations into their correlation with GC survival. This study aimed to investigate the intricate interplay between CD8 + T cells, particularly within the context of CXCR6, and survival outcomes in patients with GC.

Upper gastrointestinal bleeding (UGIB) is a prevalent and severe complication of cirrhosis, often resulting from esophagogastric variceal bleeding (EVB). This condition poses significant life-threatening risks. Once bleeding occurs, the risk of recurrent episodes substantially increases, further compromising liver function and worsening patient outcomes. This study aims to identify risk factors for UGIB in cirrhotic patients using clinical examination data and to develop a non-invasive predictive model to improve diagnostic precision and efficiency.