Blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is essential for non-invasively investigating brain function. However, conventional fMRI methods are limited by low spatial and temporal resolution. This narrative review evaluates recent advancements in deep learning techniques for high-resolution BOLD-fMRI reconstruction, focusing on super-resolution, segmentation, and image registration. A comprehensive literature search was conducted across PubMed, IEEE, Scopus, and Web of Science databases for the period 2000–2023. Studies employing deep learning methods, including convolutional neural networks, transformer-based models, and generative adversarial networks for super-resolution, segmentation, and registration of BOLD-fMRI, were included. Deep learning approaches demonstrated significant improvements in spatial resolution, segmentation accuracy, and registration robustness. Convolutional neural network-based models, particularly generative adversarial networks, notably improved image reconstruction quality and detail preservation. Preliminary studies targeting specific brain regions such as the cerebellum and hippocampus showed promise; however, systematic evaluations across broader brain areas and large-scale clinical validations remain limited. While deep learning techniques have led to substantial advancements in high-resolution BOLD-fMRI reconstruction, future research should focus on standardized protocols, multi-center validation, and improving computational efficiency and model generalization to enhance clinical utility.

Various vaccines have been reported as triggers of Autoimmune hepatitis (AIH). Recently, with the ongoing COVID-19 pandemic and widespread vaccination worldwide, COVID-19 vaccination-associated AIH (CA-AIH) occurring without COVID-19 infection have been reported. However, only a handful of CA-AIH cases have been reported in patients with COVID-19 infection. Therefore, we report such a case and summarize the CA-AIH with or without COVID-19 infection.

In this report, we describe a 66-year-old female who developed biopsy-proven acute-onset autoimmune hepatitis after receiving four doses of the COVID-19 vaccine and experiencing one COVID-19 infection in 2022. The patient was immediately treated with prednisone. Her liver enzymes gradually decreased to the normal range after treatment. In addition, we reviewed 20 cases of CA-AIH reported from multiple countries. The summarized data of these cases showed that CA-AIH and classic AIH share some clinical, serological, and histopathological features, such as female predominance and a middle-aged distribution. All patients had some positive circulating autoantibodies, including anti-nuclear antibody and/or positive anti-smooth muscle antibody. Histologically, CA-AIH showed a more acute onset compared to classic AIH, which typically presents with more chronic hepatitis. However, only 5 (23.8%) of the 21 cases had COVID-19 infection.

This case report provides additional evidence supporting an association of COVID-19 vaccination and/or infection with AIH, suggesting a more causal than coincident relationship. The majority of the patients of COVID-19 vaccination associated AIH show acute disease onset and may not have COVID-19 infection.

Insulinoma is a neuroendocrine tumor originating in the pancreas that secretes excess amounts of insulin, leading to severe hypoglycemia. The clinical presentation of hypoglycemia is classically described by Whipple’s Triad. Due to the rarity of this diagnosis, it can often be mistaken for other etiologies with similar presentations. In this paper, we present the case of a woman in her 70s with metastatic insulinoma involving the liver, who was initially diagnosed with an insulin-like growth factor 2-secreting hepatocellular carcinoma. Biochemical and immunohistochemical analyses were instrumental in distinguishing between these two etiologies.

Craniopharyngioma (CP), although histologically benign, is a surgically challenging sellar-region tumor for which stereotactic irradiation is increasingly used as an alternative or adjuvant strategy. This review summarizes the role of stereotactic radiosurgery (SRS) in managing CP, with a focus on treatment outcomes, technical advances, and emerging strategies to support evidence-based clinical practice. Literature reports indicate that Gamma Knife radiosurgery achieves variable tumor control rates (36–100%), with optimal outcomes (79.6–91.4%) when marginal doses ≥12 Gy are delivered and patients receive adequate follow-up. Smaller tumors (<5 cm3) and those with higher solid components show particularly favorable outcomes. SRS demonstrates a favorable safety profile, with visual impairment occurring in approximately 4% of cases and endocrine dysfunction in 6%. Compared to conventional radiotherapy, SRS significantly reduces the risk of hypothalamic obesity in pediatric patients. The identification of BRAF mutations in papillary CPs has created novel opportunities for combining targeted therapies with SRS. Collectively, these advances underscore the role of SRS as an essential component of multidisciplinary CP management, particularly in the treatment of residual or recurrent lesions. It offers a more favorable toxicity profile and may improve quality of life outcomes compared to conventional radiotherapy. Further studies are needed to optimize patient selection, dosing strategies, and integration with novel systemic therapies.

Nutrition plays a pivotal role in the prevention and management of gastrointestinal and hepatic diseases, yet dietary guidance remains generic, limiting its effectiveness. Conditions such as inflammatory bowel disease, irritable bowel syndrome, metabolic dysfunction-associated steatotic liver disease, celiac disease, and gastroesophageal reflux disease are significantly influenced by dietary factors. Personalized nutrition has emerged as a promising strategy to tailor interventions, but conventional approaches fail to account for individual metabolic, genetic, and microbiome variability, limiting their clinical impact. The rapid rise of artificial intelligence (AI) has transformed precision nutrition by integrating genomics, microbiome profiles, metabolic markers, and real-time dietary tracking to generate individualized recommendations. AI-driven systems are advancing dietary assessment, condition-specific nutrition optimization, and continuous monitoring through tools such as wearable devices and natural language processing-based diet analysis. These innovations hold transformative potential in gastroenterology and hepatology, offering dynamic, patient-specific strategies that may enhance clinical outcomes. However, challenges remain, including the lack of standardized AI-driven protocols, ethical concerns such as bias and data privacy, limited clinical validation, and the underrepresentation of nutrition in many current AI applications. Opportunities for progress include developing federated learning models, expanding real-world validation studies, and designing regulatory and ethical frameworks for safe implementation. This narrative review synthesizes literature published between 2015 and 2025 across five databases, highlighting key applications, limitations, and future directions of AI-driven personalized nutrition in gastroenterology and hepatology. It provides insights into how AI could reshape patient-centered care through more individualized, effective, and scalable dietary strategies.

Soft tissue cytopathology plays a vital role in the diagnosis and management of soft tissue neoplasms, necessitating a standardized classification system to improve diagnostic accuracy and guide clinical decision-making. This article provides a concise review of the World Health Organization (WHO) Reporting System for Soft Tissue Cytopathology and presents a practical diagnostic approach to soft tissue cytopathology.

The WHO Reporting System is reviewed in conjunction with relevant literature. The reporting system employs a six-category framework: non-diagnostic, benign, atypical, soft tissue neoplasm of uncertain malignant potential, suspicious for malignancy, and malignant.

Each category is associated with a corresponding risk of malignancy and recommended clinical management guidelines. This classification aligns with the WHO Classification of Soft Tissue and Bone Tumours (5th edition) and incorporates cytomorphologic features, ancillary studies, and clinical correlation to enhance diagnostic reproducibility and communication among pathologists and clinicians. The system supports a probabilistic approach to risk stratification, enabling more consistent diagnostic and therapeutic strategies.

This framework provides a robust foundation for the interpretation of soft tissue fine-needle aspiration biopsies and optimized patient care.

Primary biliary cholangitis (PBC) is a chronic progressive autoimmune disorder characterized by small non-purulent intrahepatic bile duct destruction (ductopenia) and cholestasis. While the etiology of PBC remains unclear, it is believed to involve genetic-environmental interactions. Emerging evidence highlights gut microbiota dysbiosis in PBC patients, with increased symbiotic bacteria and decreased pathogenic bacteria. Microbial alterations potentially influence disease pathogenesis through multiple mechanisms, including immune dysregulation, intestinal barrier damage, BA metabolic dysregulation, and cholestasis. These findings suggest that the gut microbiota can serve not only as a non-invasive biomarker for diagnosis and prognosis evaluation but also as a therapeutic target for the disease. In this review, we summarize changes in PBC patients’ gut microbiota, explain how these changes affect disease occurrence and development, and discuss treatment methods with potential clinical value that intervene in gut microbiota.

The importance of putative folate-biopterin metabolic interactions lies in the role they may play in the expression of several clinically relevant phenotypes. However, to date, clinical studies on folate-biopterin interactions have been limited. The purpose of this article was to highlight the close relationship between these two cofactors, which share structural similarities and exhibit overlapping metabolic pathways. This folate-biopterin crosstalk has generated several ideas and hypotheses that are critical to advancing the biochemical understanding of several important and seemingly disparate clinical and/or biologically important phenotypes. These phenotypes include melanization/pigmentation, phenylketonuria, autism, neural tube defects, affective disorders, and vascular disease. This review provides a timely, integrated overview of this important area of biochemistry, which is under-represented in the literature and would benefit from further scientific and clinical investigation using improved metabolite-specific analytical methodologies applied to clinically relevant questions.

Autoimmune hepatitis (AIH) is an inflammatory liver disease influenced by genetic, environmental, and immunologic factors. Individuals diagnosed with AIH may exhibit concurrent autoimmune manifestations affecting multiple organ systems. The prevalence of AIH associated with other autoimmune diseases has been reported to range from 20% to 40%. This review indicates that the associations between AIH and autoimmune thyroiditis, type 1 diabetes mellitus, ulcerative colitis, Crohn disease, and celiac disease appear to be significant. However, the associations between AIH and primary sclerosing cholangitis, primary biliary cholangitis, rheumatoid arthritis, systemic lupus erythematosus, Sjögren syndrome, and vitiligo are not well-supported. The aim of this review is to evaluate the strength of the reported associations between AIH and other autoimmune diseases, and to update and present the available evidence on their prevalence, proposed underlying pathogenic mechanisms, diagnostic considerations, and treatment approaches.