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Bariatric Surgery

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Resolution of type 2 diabetes after sleeve gastrectomy: a 2-step hypothesis.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
BACKGROUND: Weight loss (WL) and altered gut hormonal levels are involved in glucose homeostasis after laparoscopic sleeve gastrectomy (LSG).

Extracting Healthcare Quality Information from Unstructured Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Healthcare quality research is a fundamental task that involves assessing treatment patterns and measuring the associated patient outcomes to identify potential areas for improving healthcare. While both qualitative and quantitative approaches are us...

[Robot-assisted vs laparoscopic gastric bypass : First experiences with the DaVinci system in bariatric surgery].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen
Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted surgery is gaining in importance. Up to now there are only few reports from Germany on the use of the system in bariatric surgery. Since January 2017 ...

Surgical trainee impact on bariatric surgery safety.

Surgical endoscopy
BACKGROUND: Roux-en-Y-gastric bypass (RYGB) and sleeve gastrectomy (SG) are commonly performed bariatric procedures that are associated with a significant learning curve. The effect of surgeon experience on perioperative outcomes and safety is establ...

Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
OBJECTIVES: Laparoscopic metabolic surgery (MxS) can lead to remission of type 2 diabetes (T2D); however, treatment response to MxS can be heterogeneous. Here, we demonstrate an open-source predictive analytics platform that applies machine-learning ...

Benefits of Robotic Camera Assistance in Minimally Invasive Bariatric Procedures: Prospective Clinical Trial Using a Joystick-Guided Camera-Holder.

Surgical technology international
BACKGROUND: While minimally invasive surgery is a growing sector in medicine, camera assistance remains a problem. Especially in bariatric surgery, the assistant holding the camera faces certain challenges. Furthermore, unless the surgeon controls th...

Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database.

Surgical endoscopy
BACKGROUND: Postoperative gastrointestinal leak and venous thromboembolism (VTE) are devastating complications of bariatric surgery. The performance of currently available predictive models for these complications remains wanting, while machine learn...

Predicting 10-Year Risk of End-Organ Complications of Type 2 Diabetes With and Without Metabolic Surgery: A Machine Learning Approach.

Diabetes care
OBJECTIVE: To construct and internally validate prediction models to estimate the risk of long-term end-organ complications and mortality in patients with type 2 diabetes and obesity that can be used to inform treatment decisions for patients and pra...