Publications by authors named "Reinhard Stoll"

Article Synopsis
  • - The pilot study aims to create machine learning models that can predict BMI changes for up to 5 years after bariatric surgery, improving preoperative obesity treatment and patient care.
  • - Conducted from January 2012 to December 2021 in Switzerland, the study involved analyzing data from over 1,100 patients who underwent obesity surgeries, focusing on those with complete pre and postoperative information.
  • - The results show reliable BMI predictions with low root mean square error values, highlighting the study's effectiveness in forecasting weight outcomes and the development of a web-based calculator for healthcare professionals.
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Hospitals are facing difficulties in predicting, evaluating, and managing cost-affecting parameters in patient treatments. Inaccurate cost prediction leads to a deficit in operational revenue. This study aims to determine the ability of Machine Learning (ML) algorithms to predict the cost of care in bariatric and metabolic surgery and develop a predictive tool for improved cost analysis.

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Background: Laparoscopic local excision is accepted for gastrointestinal stromal tumors (GIST) and benign lesions of the stomach. Yet, tumors at the gastroesophageal junction, on the posterior wall, or in the distal antrum are difficult to approach. Such tumors often must be exposed via gastrotomy or using a rendezvous maneuver.

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The long-term rotatory stability of meniscus suture repair has not been firmly established clinically. Up to now there are only experimental studies done. This retrospective study aimed to compare the long-term rotatory stability of a knee with a meniscus suture repair with the stability of the uninjured knee in each of a cohort of patients.

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Background: The long-term outcome of meniscal suture repair has not been firmly established.

Purpose: To compare the midterm and long-term functional and radiographic outcome of meniscal suture repairs with the natural history of the uninjured knees of each of a cohort of patients.

Study Design: Cohort study; Level of evidence, 3.

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