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4. A Novel Machine-Learning Approach to Predict Recurrence After Resection of Colorectal Liver Metastases

5. Predicting Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma

6. Correction to: Trends in the Number of Lymph Nodes Evaluated Among Patients with Pancreatic Neuroendocrine Tumors in the United States: A Multi-Institutional and National Database Analysis

8. The Impact of Preoperative CA19-9 and CEA on Outcomes of Patients with Intrahepatic Cholangiocarcinoma

9. Quality of Care Among Medicare Patients Undergoing Pancreatic Surgery: Safety Grade, Magnet Recognition, and Leapfrog Minimum Volume Standards—Which Quality Benchmark Matters?

10. Trends in the Number of Lymph Nodes Evaluated Among Patients with Pancreatic Neuroendocrine Tumors in the United States: A Multi-Institutional and National Database Analysis

11. How Safe Are Safety-Net Hospitals? Opportunities to Improve Outcomes for Vulnerable Patients Undergoing Hepatopancreaticobiliary Surgery

12. A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients

13. Hepatopancreatobiliary Surgery: the Role of Clinical Resources and Variation in Performance of Hospitals Located in “Distressed” Communities

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