AIMC Topic: Postoperative Complications
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Short-term and pathologic outcomes of robotic versus open pancreatoduodenectomy for periampullary and pancreatic head malignancy: an early experience.
Journal of robotic surgery
Sep 21, 2021
Open pancreatoduodenectomy (OPD) is associated with high perioperative morbidity. Adoption of robot-assisted pancreatoduodenectomy (RAPD) has been slow despite ergonomic advantages, improved visualization and dexterity. We aim to report our experienc...
A comparative study of anticoagulant/antiplatelet therapy among men undergoing robot-assisted radical prostatectomy: a prospective single institution study.
Journal of robotic surgery
Sep 21, 2021
The present study aimed to assess the safety and efficacy of robot-assisted radical prostatectomy (RARP) in patients with prostate cancer (PCa) under anticoagulant (AC) and/or antiplatelet (AP) therapy, as compared to a control group, and to establis...
Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy.
Radiology
Sep 21, 2021
Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjacent segment disease (ASD). Identifying patients who will develop ASD remains challenging for clinicians. Purpose To develop and validate a deep learnin...
Humans
Retrospective Studies
Female
Reproducibility of Results
Adult
Sensitivity and Specificity
Male
Middle Aged
Preoperative Care
Diskectomy
Cervical Vertebrae
Spinal Cord Diseases
Postoperative Complications
Spinal Fusion
Deep Learning
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Radiculopathy
Predictive Value of Tests
Myosteatosis as a novel predictor of urinary incontinence after robot-assisted radical prostatectomy.
International journal of urology : official journal of the Japanese Urological Association
Sep 17, 2021
OBJECTIVES: To evaluate the impact of sarcopenia and myosteatosis on urinary incontinence after prostatectomy.
Machine Learning Applications in Solid Organ Transplantation and Related Complications.
Frontiers in immunology
Sep 16, 2021
The complexity of transplant medicine pushes the boundaries of innate, human reasoning. From networks of immune modulators to dynamic pharmacokinetics to variable postoperative graft survival to equitable allocation of scarce organs, machine learning...
Australian experience with robot-assisted Roux-en-Y gastric bypass with comparison to a conventional laparoscopic series.
Surgical endoscopy
Sep 15, 2021
BACKGROUND: Robotic surgery is a novel approach to abdominal surgery. In Australia, the uptake of robotic assistance for bariatric surgery has been relatively slow compared to many other countries. The aim of this study is to report the first high vo...
Trends and safety of robot-assisted partial nephrectomy during the initial 2-year period after government approval in Japan: A nationwide database study from 2016 to 2018.
International journal of urology : official journal of the Japanese Urological Association
Sep 15, 2021
OBJECTIVES: To evaluate the trends and safety of robot-assisted partial nephrectomy during the initial 2-year period after government approval for this type of procedure in April 2016.
Preoperative prediction of postoperative urinary retention in lumbar surgery: a comparison of regression to multilayer neural network.
Journal of neurosurgery. Spine
Sep 10, 2021
OBJECTIVE: Postoperative urinary retention (POUR) is a common complication after spine surgery and is associated with prolongation of hospital stay, increased hospital cost, increased rate of urinary tract infection, bladder overdistention, and auton...
Robotic rectal resection preserves anorectal function: Systematic review and meta-analysis.
The international journal of medical robotics + computer assisted surgery : MRCAS
Sep 9, 2021
BACKGROUND: Improving survival rates in rectal cancer patients has generated a growing interest in functional outcomes after total mesorectal excision (TME). The well-established low anterior resection syndrome (LARS) score assesses postoperative ano...
Revisiting performance metrics for prediction with rare outcomes.
Statistical methods in medical research
Sep 1, 2021
Machine learning algorithms are increasingly used in the clinical literature, claiming advantages over logistic regression. However, they are generally designed to maximize the area under the receiver operating characteristic curve. While area under ...
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