AIMC Topic: Postoperative Complications
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Efficacy of the Addition of Robot-assisted Radical Cystectomy with Extracorporeal Urinary Diversion after an Enhanced Recovery Protocol.
Urology journal
Feb 28, 2024
PURPOSE: It is unclear if robotic radical cystectomy with extracorporeal urinary diversion (eRARC) provides additional benefit when performed along with enhanced recovery after surgery (ERAS). We assessed the additional efficacy of eRARC in terms of ...
Multicentre validation of a machine learning model for predicting respiratory failure after noncardiac surgery.
British journal of anaesthesia
Feb 26, 2024
BACKGROUND: Postoperative respiratory failure is a serious complication that could benefit from early accurate identification of high-risk patients. We developed and validated a machine learning model to predict postoperative respiratory failure, def...
Deep Learning Prediction of Cervical Spine Surgery Revision Outcomes Using Standard Laboratory and Operative Variables.
World neurosurgery
Feb 24, 2024
BACKGROUND: Cervical spine procedures represent a major proportion of all spine surgery. Mitigating the revision rate following cervical procedures requires careful patient selection. While complication risk has successfully been predicted, revision ...
Risk factors of recurrence after robot-assisted laparoscopic partial nephrectomy for solitary localized renal cell carcinoma.
Scientific reports
Feb 23, 2024
To evaluate the recurrence rate and risk factors of recurrence after robot-assisted laparoscopic partial nephrectomy for solitary renal cell carcinoma (RCC). A total of 1265 cases of initial solitary localized RCC were analyzed. The baseline characte...
Predicting reoperation and readmission for head and neck free flap patients using machine learning.
Head & neck
Feb 15, 2024
BACKGROUND: To develop machine learning (ML) models predicting unplanned readmission and reoperation among patients undergoing free flap reconstruction for head and neck (HN) surgery.
Experts vs. machine - comparison of machine learning to expert-informed prediction of outcome after major liver surgery.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Feb 13, 2024
BACKGROUND: Machine learning (ML) has been successfully implemented for classification tasks (e.g., cancer diagnosis). ML performance for more challenging predictions is largely unexplored. This study's objective was to compare machine learning vs. e...
Single-Port Multiport Robot-Assisted Partial Nephrectomy: A Meta-Analysis.
Journal of endourology
Feb 13, 2024
Several centers have reported their experience with single-port robot-assisted partial nephrectomy (SP-RAPN); however, it is uncertain if utilization of this platform represents an improvement in outcomes compared to multiport robot-assisted partial...
Robot-assisted transcervical esophagectomy with a bilateral cervical approach for thoracic esophagectomy.
Surgical endoscopy
Feb 6, 2024
BACKGROUND: Thoracic esophageal cancer resection through the neck approach has recently been reported as mediastinoscopic surgery. We present the first report of a new minimally invasive technique for thoracic esophageal cancer: robot-assisted transc...
Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter study.
Surgical endoscopy
Feb 5, 2024
BACKGROUND: Artificial intelligence (AI) is becoming more useful as a decision-making and outcomes predictor tool. We have developed AI models to predict surgical complexity and the postoperative course in laparoscopic liver surgery for segments 7 an...
Patient-reported outcomes of mesh in minimally invasive (laparoscopic/robot-assisted) immediate subpectoral prosthesis breast reconstruction: a retrospective study.
Breast cancer (Tokyo, Japan)
Feb 2, 2024
BACKGROUND: Although there is increasing interest in minimally invasive prosthesis breast reconstruction (PBR), whether meshes application in minimally invasive PBR can improve complications and cosmetic effects remains controversial. The author retr...
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