Background: Early and accurate differentiation of benign and malignant breast nodules is crucial for determining appropriate therapeutic strategies. Recently, artificial intelligence (AI)-based diagnostic systems have been increasingly utilized to enhance the diagnostic performance of ultrasound imaging. Aim: To evaluate the diagnostic value of artificial intelligence-based ultrasound (AI-US) in differentiating benign and malignant breast nodules and to compare its performance with conventional ultrasound (US). Materials and Methods: This retrospective study included 101 patients with 103 breast nodules (58 malignant, 45 benign) confirmed by histopathological analysis (biopsy or surgery). Diagnostic performance was evaluated across three groups: 1) Conventional ultrasound (US), 2) AI system (AI group), and 3) Combined US and AI system (US+AI group). Sensitivity (SE), specificity (SP), accuracy (ACC), positive predictive value (PPV), negative predictive value (NPV), and the area under the ROC curve (AUC) were calculated and compared. Results: Of the 103 nodules, 56.3% were malignant and 43.7% were benign. The AI group demonstrated higher diagnostic metrics than the US group—SE (82.76%), SP (80.00%), ACC (81.55%), and AUC (0.814)—though the difference was not statistically significant (p>0.05). However, the combined US+AI group showed significant improvement, reaching an SE of 87.93%, SP of 86.67%, ACC of 87.38%, and an AUC of 0.874. These results were statistically superior to the conventional US group (p<0.05). Conclusion The AI-based ultrasound diagnostic system significantly improves the accuracy of differentiating breast nodules. This technology serves as a reliable decision-support tool, particularly for reducing diagnostic errors among less experienced physicians and minimizing unnecessary invasive biopsies.

Introduction: A considerable proportionof adult living donor liver transplantation(LDLT) recipients experience biliarycomplication (BC), but there are few reportsregarding BC based on long-term studies ofa large LDLT population.Methods: The present study examinedBC incidence, from 16 adult and pediatricpatients (14 right liver and 2 left liver graft )between 2011 and 2016 First Central Hospitalof Mongolia.Results: The mean follow-up period was36±1 months. First Central Hospital has DDanastmosis (n=22) double DD (n=2) singlehepaticojejunostomy (n=3). There 3 caseshave biliary stricture after operation. One ofthe 3 cases has biliary laek 2 months laterafter the operation.Conclusion: Close surveillance for BCappears necessary for at least the first 3 yrafter LDLT. In terms of anastomotic stenosisrisk, HJ appears a better choice than DD forright liver grafts involving ducts less than 4mm in diameter.