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  1. Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?

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  2. Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

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  3. Further Detail Concerning the Deep Learning Model for Mortality After Total Gastrectomy

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  4. Response to ‘Further Detail Concerning the Deep Learning Model for Mortality After Total Gastrectomy’

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  5. Enhancing Surgical Efficiency and Cost‐Effectiveness With TaTME‐Combined Robot‐Assisted Surgery for Lower Rectal Cancer

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  6. First Successful Regeneration of a Structurally Native‐Like Colon Using a Bioabsorbable Polymer Sheet

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  7. Educational Impact of Artificial Intelligence‐Navigation Surgery on Anatomical Landmark Recognition in Medical Students

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  8. Impact of Two‐Team Surgery on Short‐ and Long‐Term Outcomes of Transanal Total Mesorectal Excision for Rectal Cancer

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  9. Visionary Leadership in Cancer Care: An Interview With Professor Timothy J. Eberlein

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  10. Proposal of Early Drain Exchange After Pancreatoduodenectomy From the View of Reducing Postoperative Pancreatic Fistula

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  11. Prognostic and Predictive Role of Lymph Node Count in Stage II Colon Cancer: A Retrospective Analysis of a Japanese Nationwide Cohort

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  12. Association Between Liver Function Grade and Post‐Hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma: A Latent Class Analysis

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  13. Stoma reversal after intended restorative rectal cancer resection in Denmark: nationwide population‐based study

    Published in BJS Open (2020)
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  14. Factors associated with metachronous metastases and survival in locally advanced and recurrent rectal cancer

    Published in BJS Open (2020)
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  15. Preoperative MRI for predicting pathological changes associated with surgical difficulty during laparoscopic cholecystectomy for acute cholecystitis

    Published in BJS Open (2020)
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