AI Medical Compendium Topic:
Postoperative Complications

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Impact of obesity on surgical and oncologic outcomes in patients with endometrial cancer treated with a robotic approach.

The journal of obstetrics and gynaecology research
AIM: The surgical treatment of endometrial cancer (EC) can be more complicated in obese patients. Robotic surgery could simplify the surgical approach in these patients. The aim of our study was to compare the outcomes of robotic surgery in obese (bo...

Artificial neural network model for preoperative prediction of severe liver failure after hemihepatectomy in patients with hepatocellular carcinoma.

Surgery
BACKGROUND: Posthepatectomy liver failure is a worrisome complication after major hepatectomy for hepatocellular carcinoma and is the leading cause of postoperative mortality. Recommendations for hepatectomy for hepatocellular carcinoma are based on ...

Prediction of the development of acute kidney injury following cardiac surgery by machine learning.

Critical care (London, England)
BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that results in increased morbidity and mortality after cardiac surgery. Most established prediction models are limited to the analysis of nonlinear relation...

Clinical impact of psoas muscle volume on the development of inguinal hernia after robot-assisted radical prostatectomy.

Surgical endoscopy
BACKGROUND: Sarcopenia, a syndrome characterized by the loss of skeletal muscle mass, has attracted attention in the field of oncology, as it reflects poor nutritional status. The present study aimed to determine the risk factors for postoperative in...

Robot-Assisted Laparoscopic Partial Nephrectomy Conventional Laparoscopic Partial Nephrectomy: Functional and Surgical Outcomes of a Prospective Single Surgeon Randomized Study.

Journal of endourology
Laparoscopic partial nephrectomy (LPN) and robot-assisted partial nephrectomy (RAPN) are commonly used techniques for treating small renal masses. Regarding renal function (RF) preservation, no superiority of one technique over the other has yet bee...

Predicting respiratory failure after pulmonary lobectomy using machine learning techniques.

Surgery
BACKGROUND: When pulmonary complications occur, postlobectomy patients have a higher mortality rate, increased length of stay, and higher readmission rates. Because of a lack of high-quality consolidated clinical data, it is challenging to assess and...

Benefits of robotic cystectomy compared with open cystectomy in an Enhanced Recovery After Surgery program: A propensity-matched analysis.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To compare the perioperative and oncological outcomes between robot-assisted radical cystectomy with intracorporeal urinary diversion versus open cystectomy for bladder cancer in a contemporary Enhanced Recovery After Surgery cohort.

Intraoperative complications and troubles in robot-assisted anatomical pulmonary resection.

General thoracic and cardiovascular surgery
OBJECTIVE: Regarding intraoperative complications and troubles during robot-assisted thoracic surgery, few data are available especially in Japan. This study was aimed to elucidate intraoperative complications and troubles in robotic anatomical lung ...

Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI.

Clinical research in cardiology : official journal of the German Cardiac Society
BACKGROUND: Currently, patient selection in TAVI is based upon a multidisciplinary heart team assessment of patient comorbidities and surgical risk stratification. In an era of increasing need for precision medicine and quickly expanding TAVI indicat...