Background/Aims: Cardiovascular disease remains a major cause of mortality in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). This study evaluated the association between subclinical carotid atherosclerosis (SCA) and MASLD or MASLD and increased alcohol intake (MetALD) in asymptomatic individuals. Methods: This cross-sectional study included 56,889 adults undergoing health check-ups in South Korea. Hepatic steatosis was diagnosed by ultrasound, and SCA was defined by carotid plaques or increased intima-media thickness. Liver fibrosis was evaluated using the fibrosis-4 index and elastography. Results: SCA was identified in 13.5%. MASLD and MetALD were significantly associated with SCA in models adjusted for demographic and lifestyle factors (adjusted odds ratio [aOR], 1.26;95% confidence interval [CI], 1.19 to 1.33; aOR, 1.43; 95% CI, 1.30 to 1.58; respectively, p<0.001for both). However, these associations attenuated and lost statistical significance when metabolic risk factors were further adjusted. The risk of SCA increased with greater hepatic steatosis and liver fibrosis severity. In patients with MASLD, aORs were 1.70 (hepatic steatosis index >36),1.23 (fibrosis-4 index ≥1.3), and 1.78 (liver stiffness measurement ≥5.6 kPa), compared to indi-viduals without MASLD. Similar trends were observed in the MetALD group. Additionally, hyper-tension and clustering of ≥3 cardiometabolic risk factors were significantly associated with SCA inthe MASLD group, supporting the role of metabolic burden in SCA development. Conclusions MASLD and MetALD were associated with increased SCA risk, particularly in individuals with hepatic steatosis and fibrosis. These findings suggest that metabolic burden and liver disease severity jointly contribute to subclinical atherosclerosis risk.

Background/Aims: Chronic kidney disease (CKD) is a significant health problem worldwide, and identifying risk factors for CKD is crucial. We investigated the association between steatotic liver disease (SLD) and the incidence of CKD. Methods: This longitudinal cohort study involved 70,361 adults who did not have CKD at baseline and who underwent at least two health checkups. SLD status was assessed via ultrasonography. The severity of SLD was determined using the Fibrosis-4 score. CKD was defined as an estimated glomerular filtration rate <60 mL/min/1.73 m 2 . Results: Over 475,835 person-years (mean 6.8 years), 2,723 participants developed CKD.The adjusted hazard ratio (aHR) for development of CKD in participants with SLD compared to those without SLD was 1.17 (95% confidence interval [CI], 1.08 to 1.27), with the risk increasing with SLD severity. The aHR (95% CI) for incident CKD was 0.84 (0.51 to 1.37) for cryptogenic SLD, 1.25 (1.16 to 1.36) for metabolic dysfunction-associated SLD (MASLD), and 1.32 (1.01 to 1.73) for metabolic dysfunction-associated alcoholic liver disease (MetALD) compared with participants without SLD. Within these SLD subclassifications, the risk of CKD development was increased as disease severity advanced. Conclusions SLD was linked to a higher incidence of CKD, with the CKD risk increasing sequentially from cryptogenic SLD to MASLD and MetALD. Advanced fibrosis in each SLD subclassification further increases the risk of CKD. Stratifying SLD according to metabolic dysfunction, significant alcohol intake, and fibrosis severity may help identify and monitor individuals at high risk of developing CKD.

Background/Aims: Although metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) represent the updated nomenclature and diagnostic criteria for nonalcoholic fatty liver disease, studies comparing the prognostic implications of these conditions remain limited. This meta-analysis aimed to quantify the associations among MAFLD, MASLD, and long-term clinical outcomes. Methods: A comprehensive literature search was performed to identify cohort studies that assessed the association of MASLD and MAFLD with all-cause mortality, cause-specific (cardiovascular and cancer-related) mortality, and the incidence of cardiovascular disease in the PubMed, Embase, Web of Science, CINAHL, and CENTRAL databases from inception through October 31, 2024. Pooled hazard ratios (HRs) were calculated for relevant outcomes. Results: We identified 18 cohort studies, comprising 10,653,666 patients with MAFLD from 13 studies and 3,202,447 patients with MASLD from nine studies. MAFLD was significantly associated with an increased risk of overall mortality (pooled HR [95% confidence interval], 1.30 [1.16 to 1.47]) and cardiovascular mortality (1.31 [1.08 to 1.60]; both p<0.01), but not with cancer-related mortality (1.10 [0.97 to 1.24]; p=0.130). Conversely, MASLD was associated with a higher risk for all mortality outcomes: overall mortality (1.34 [1.12 to 1.61]), cardiovascular mortality (1.17 [1.07 to 1.27]), and cancer-related mortality (1.24 [1.19 to 1.29]; all p<0.01). The risk of cardiovascular disease was increased in patients with both MAFLD (1.48 [1.31 to 1.66]) and MASLD (1.33 [1.21 to 1.46]; both p<0.001). Conclusions MAFLD and MASLD were both associated with increased risks of mortality and cardiovascular outcomes. Notably, a significant association with cancer-related mortality was observed for MASLD, but not for MAFLD.

Background/Aims: This study aimed to investigate the influence of metabolic dysfunction-associated steatotic liver disease (MASLD) and body mass index (BMI) on the incidence of Alzheimer disease (AD) in the general South Korean population. Methods: The National Screening Program for Transitional Ages collected data from 66-year-old dementia-free Koreans in 2010 and 2011. MASLD was diagnosed based on the fatty liver index(≥30) and the presence of metabolic components, and overweight/obese status was defined as a BMI ≥23 kg/m 2 . The primary outcome was the development of AD up to December 2021.Multivariable Cox analyses were performed to evaluate whether the presence of MASLD or overweight/obese status influenced the risk of developing AD. Results: A total of 376,902 dementia-free individuals aged 66 years were included in this cohort. The participants were categorized into four groups: overweight/obese non-MASLD (30.4%, n=114,528), overweight/obese MASLD (37.0%, n=139,551), lean non-MASLD (29.9%, n=126,692), and lean MASLD (2.7%, n=10,131). During a mean follow-up period of 10.38±1.90 years, 23,874 individuals (6.3%) were newly diagnosed with AD. Compared to the overweight/ obese non-MASLD group, the adjusted hazard ratios (95% confidence interval) for AD in the lean MASLD, lean non-MASLD, and overweight/obese MASLD groups were 1.34 (1.24 to 1.45), 1.08 (1.04 to 1.13), and 1.13 (1.09 to 1.17), respectively. Conclusions A normal/underweight BMI and the presence of MASLD synergistically increased the risk of AD. The lean MASLD group had a higher risk of developing AD than the overweight/ obese MASLD group, suggesting that the clinical relevance of MASLD for incident AD differs based on the BMI.

The global burden of hepatocellular carcinoma (HCC) has shifted from viral to nonviral etiologies.However, successful antiviral therapy does not fully eliminate the risk of HCC, underscoring the demand for more effective surveillance strategies. Current screening methods, such as semi-annual ultrasonography and the measurement of α-fetoprotein levels, offer suboptimal sensitivityfor early detection. A cost-effective, reliable surveillance approach remains an unmet need. The Barcelona Clinic Liver Cancer staging system provides a framework to guide HCC therapy; yet, some gray zone exists, particularly for patients with intermediate-stage disease. Although tyrosine kinase inhibitors and immunotherapies have transformed the therapeutic landscape, their efficacies vary among patients, highlighting the necessity for personalized treatment strategies.In response to these challenges, artificial intelligence (AI) approaches have emerged as transformative tools in healthcare. By processing complex, nonlinear relationships and uncovering hidden patterns in clinical data, AI methods offer capabilities beyond those of traditional statistical methods. Furthermore, AI-driven multi-omics analysis holds promise for identifying novel biomarkers, thereby advancing precision medicine for HCC patients. This review introduces the potential of AI applications in enhancing the diagnosis, treatment, and prognosis of HCC.

Malignant gastric outlet obstruction (MGOO) occurs in 2% to 25% of patients with pancreatic ductal adenocarcinoma (PDAC) who do not undergo surgical intervention. Over the past decade, duodenal self-expandable metal stent (D-SEMS) has been widely used for MGOO and has demonstrated high technical (89.1% to 100%) and clinical (85.7% to 94.3%) success rates.Endoscopic ultrasonography-guided gastroenterostomy (EUS-GE) has emerged as a promising alternative with comparable technical (89.3% to 98.9%) and clinical (89.0% to 100%) success rates. Notably, EUS-GE reduces the 6-month reintervention rate by approximately 25% relative to D-SEMS in patients with MGOO, thus making it an increasingly popular treatment option. Despite its advantages, EUS-GE may not be suitable for patients with massive ascites, extensive peritoneal carcinomatosis, gastric linitis plastica, or an inaccessible small bowel. Moreover, EUSGE requires a longer procedure time and incurs higher overall costs, even when considering the increased reintervention rate associated with D-SEMS. While the risk of adverse events is similar between EUS-GE and D-SEMS, EUS-GE requires a higher level of operator expertise to ensure safety and may also require deeper levels of anesthesia than D-SEMS. Advancements in cancer therapy have prolonged survival in PDAC patients, but most do not require reintervention for MGOO, unlike those with other malignancies. Thus, EUS-GE may be suitable for patients with a longer life span who are willing to undergo deep anesthesia at a high-volume center with an experienced specialist. Given these considerations, more comprehensive studies are needed before EUS-GE can be recommended as a standard replacement for D-SEMS in the treatment of MGOO.

Background/Aims: Early detection and removal of colon polyps are critical for preventing colorectal cancer. Computer-aided detection (CADe) systems have been introduced to increase the polyp detection rate (PDR) during colonoscopy, potentially enhancing its effectiveness. This study aimed to evaluate the efficacy of a CADe system in colorectal neoplasm detection. Methods: This prospective, randomized controlled trial was conducted at two tertiary centers (May 2023 to April 2025). Patients were randomly assigned to CADe or conventional colonoscopy and underwent screening, surveillance, or diagnostic colonoscopy. The primary endpoint was the adenoma detection rate (ADR), while the secondary endpoints were the PDR, relative risk (RR) of polyp detection, adenomas per colonoscopy (APC), and factors influencing adenoma detection. Results: Of 1,004 enrolled patients, 998 were randomly allocated into CADe and conventional colonoscopy groups (497 CADe system and 501 conventional colonoscopy). The CADe group had greater polyp counts (2.2 per colonoscopy vs 1.4 per colonoscopy; p<0.001) and APC values (1.2 vs 0.8; p<0.001). The CADe group showed significantly higher PDRs (72.2% vs 54.5%;p<0.001; RR, 2.173; 95% confidence interval [CI], 1.669 to 2.828) and ADRs (52.3% vs 36.1%;p<0.001; RR, 1.940; 95% CI, 1.505 to 2.499). CADe also significantly increased the detection rate of hyperplastic polyps (p=0.007; RR, 1.474; 95% CI, 1.113 to 1.952) and increased the detection rates across all sizes and locations. In multivariable analysis, CADe use was the strongest independent predictor of adenoma detection (odds ratio, 1.914; 95% CI, 1.467 to 2.496), outweighing male sex, older age, diagnostic indication, and withdrawal time. Conclusions Real-time CADe-assisted colonoscopy significantly increased PDR and ADR and proved to be a strong independent predictor of adenoma detection (cris.nih.go.kr, KCT0009664).

Background/Aims: Recent advances in computer-aided diagnosis (CADx) systems have demonstrated expert-level accuracy in the optical diagnosis of colorectal polyps. High-confidence (HC) diagnoses have been defined as those made within 3 seconds without hesitation, and these systems have been shown to improve diagnostic accuracy. We aimed to evaluate the performance of endoscopists with varying levels of experience in diagnosing colorectal polyps with the assistance of a new CADx system applying the 3-second rule and without artificial intelligence assistance. Methods: In this multicenter ex vivo study, 35 endoscopists assessed 100 polyps (51 adenomas, 39 hyperplastic polyps, 10 sessile serrated lesions) using narrow-band imaging video clips on an online platform. Assessments consisted of individual endoscopist diagnosis and CADx-assisted diagnosis. HC assignments followed the 3-second rule in both phases. Performance metrics included HC accuracy, HC rate, and adherence to the Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI) and Simple Optical Diagnosis Accuracy (SODA) thresholds. Results: HC diagnostic accuracy improved from 78.3% (95% confidence interval [CI], 76.6% to 80.0%) to 89.8% (95% CI, 88.6% to 90.9%) with CADx assistance (p<0.001). The proportion of HC predictions increased from 64.2% to 75.4% (p<0.001). Novice endoscopists showed marked improvement with CADx (74.1% vs 88.8%; p<0.001). CADx-assisted diagnoses nearly met SODA and PIVI thresholds under the 3-second rule. Additional analysis demonstrated that CADx assistance significantly improved interobserver agreement and ground truth, particularly for novices (κ=0.37 to κ=0.65; p<0.001). Conclusions Integrating CADx with the 3-second rule significantly enhances the performance of endoscopists in the optical diagnosis of colorectal polyps, with the greatest benefit observed among novice endoscopists.