AIMC Topic: Postoperative Complications
Clear Filters Showing 591 to 600 of 993 articles
The Use of Artificial Neural Network to Predict Surgical Outcomes After Inguinal Hernia Repair.
The Journal of surgical research
Oct 21, 2020
BACKGROUND: Inguinal hernia repair is one of the most commonly performed surgical procedures. We developed and validated an artificial neural network (ANN) model for the prediction of surgical outcomes and the analysis of risk factors for inguinal he...
Neural Networks, Computer
Female
Risk Factors
Aged
Humans
Middle Aged
Risk Assessment
Postoperative Complications
Adolescent
Aged, 80 and over
Young Adult
Adult
Male
Herniorrhaphy
Hernia, Inguinal
Elective Surgical Procedures
Feasibility Studies
Patient Readmission
Quality Improvement
Hospital Mortality
Logistic Models
Treatment Outcome
Risks and complications of robot-assisted radical prostatectomy (RARP) in patients receiving antiplatelet and/or anticoagulant therapy: a retrospective cohort study in a single institute.
Journal of robotic surgery
Oct 12, 2020
The objective of the study was to evaluate the risk of bleeding complications in patients undergoing robot-assisted radical prostatectomy (RARP) while taking antiplatelet (AP) and/or anticoagulant (AC) agents. We analyzed the data of 334 patients und...
Robotic hepatic resection in postero-superior region of liver.
Updates in surgery
Oct 8, 2020
OBJECTIVE: Laparoscopic hepatectomy in the posterosuperior hepatic region is technically challenging and demanding. However, minimally invasive procedures carried out using the Da Vinci robot provide potential advantages in complex hepatectomy. This ...
Comments on: Lower Incidence of Postoperative Pulmonary Complications Following Robot-Assisted Minimally Invasive Esophagectomy for Esophageal Cancer: Propensity Score-Matched Comparison to Conventional Minimally Invasive Esophagectomy.
Annals of surgical oncology
Sep 29, 2020
Operative and long-term oncological outcomes in patients undergoing robotic versus laparoscopic surgery for rectal cancer.
The international journal of medical robotics + computer assisted surgery : MRCAS
Sep 24, 2020
BACKGROUND: This study aimed to compare short- and long-term outcomes after robotic versus laparoscopic approach in patients undergoing curative surgery for rectal cancer.
Application of machine learning to the prediction of postoperative sepsis after appendectomy.
Surgery
Sep 18, 2020
BACKGROUND: We applied various machine learning algorithms to a large national dataset to model the risk of postoperative sepsis after appendectomy to evaluate utility of such methods and identify factors associated with postoperative sepsis in these...
Urological and sexual function after robotic and laparoscopic surgery for rectal cancer: A systematic review, meta-analysis and meta-regression.
The international journal of medical robotics + computer assisted surgery : MRCAS
Sep 17, 2020
BACKGROUND: This systematic review sought to compare the urogenital functions after laparoscopic (LAP) and robotic (ROB) surgery for rectal cancer.
Technical Refinements in Superextended Robot-assisted Radical Prostatectomy for Locally Advanced Prostate Cancer Patients at Multiparametric Magnetic Resonance Imaging.
European urology
Sep 14, 2020
BACKGROUND: The feasibility and efficacy of robot-assisted radical prostatectomy (RARP) in locally advanced prostate cancer (PCa) patients with iT3 lesion at magnetic resonance imaging (MRI) are currently not explored.
Automatic unsupervised respiratory analysis of infant respiratory inductance plethysmography signals.
PloS one
Sep 11, 2020
Infants are at risk for potentially life-threatening postoperative apnea (POA). We developed an Automated Unsupervised Respiratory Event Analysis (AUREA) to classify breathing patterns obtained with dual belt respiratory inductance plethysmography an...
Leveraging interpretable machine learning algorithms to predict postoperative patient outcomes on mobile devices.
Surgery
Sep 9, 2020
Setting patient and family expectations for postoperative outcomes is an important aspect of care, a cornerstone of which is accurate, personalized, and explainable risk estimation. Modern machine learning offers a plethora of models that can effecti...
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