AIMC Topic: Postoperative Complications

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Deep learning-based preoperative predictive analytics for patient-reported outcomes following lumbar discectomy: feasibility of center-specific modeling.

The spine journal : official journal of the North American Spine Society Nov 16, 2018
BACKGROUND CONTEXT: There is considerable variability in patient-reported outcome measures following surgery for lumbar disc herniation. Individualized prediction tools that are derived from center- or even surgeon-specific data could provide valuabl...
Intervertebral Disc Displacement Diskectomy Lumbar Vertebrae Feasibility Studies Patient Reported Outcome Measures Intervertebral Disc Degeneration Humans Female Adult Male Middle Aged Postoperative Complications Deep Learning
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Frameless robot-assisted stereoelectroencephalography for refractory epilepsy in pediatric patients: accuracy, usefulness, and technical issues.

Acta neurochirurgica Nov 9, 2018
BACKGROUND: Stereoelectroencephalography (SEEG) is an effective technique to help to locate and to delimit the epileptogenic area and/or to define relationships with functional cortical areas. We intend to describe the surgical technique and verify t...
Humans Clinical Decision-Making Female Robotics Electroencephalography Stereotaxic Techniques Drug Resistant Epilepsy Electrodes, Implanted Male Postoperative Complications Adolescent Child, Preschool Child
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Transoral surgery using the Flex Robotic System: Initial experience in the United States.

Head & neck Oct 10, 2018
BACKGROUND: This multicenter, retrospective review documents the initial experience using the Flex system for transoral surgery in 2 United States academic centers.
Humans Retrospective Studies Female Postoperative Complications Length of Stay Clinical Competence Cohort Studies United States Aged Adult Male Middle Aged Risk Assessment Learning Curve Larynx Glottis Mouth Pharynx Treatment Outcome Tongue Robotics Academic Medical Centers Equipment Design Natural Orifice Endoscopic Surgery Robotic Surgical Procedures
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Predicting postoperative facial swelling following impacted mandibular third molars extraction by using artificial neural networks evaluation.

Scientific reports Aug 16, 2018
Patients' postoperative facial swelling following third molars extraction may have both biological impacts and social impacts. The purpose of this study was to evaluate the accuracy of artificial neural networks in the prediction of the postoperative...
Edema Tooth, Impacted Postoperative Complications Molar, Third Tooth Extraction Face Humans Neural Networks, Computer Algorithms Female Reproducibility of Results Young Adult Adult Male
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Robot-assisted Kidney Autotransplantation: A Minimally Invasive Way to Salvage Kidneys.

European urology focus Aug 6, 2018
BACKGROUND: Kidney autotransplantation (KAT) is the ultimate way to salvage kidneys with complex renovascular, ureteral, or malignant pathologies that are not amenable to in situ reconstruction. A minimally invasive approach could broaden its adoptio...
Ureteral Obstruction Renal Nutcracker Syndrome Flank Pain Anastomosis, Surgical Adult Salvage Therapy Male Cold Ischemia Humans Middle Aged Perioperative Period Kidney Transplantation Postoperative Complications Ureteroscopy Prospective Studies Length of Stay Kidney Retrospective Studies Robotics Female Hematuria Transplantation, Autologous
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Autonomous detection, grading, and reporting of postoperative complications using natural language processing.

Surgery Jul 26, 2018
INTRODUCTION: Natural language processing, a computer science technique that allows interpretation of narrative text, is infrequently used to identify surgical complications. We designed a natural language processing algorithm to identify and grade t...
Quality Improvement Postoperative Complications Venous Thrombosis Natural Language Processing Pulmonary Embolism Venous Thromboembolism Humans Algorithms
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Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Statistical techniques such as propensity score matching and instrumental variable are commonly employed to "simulate" randomization and adjust for measured confounders in comparative effectiveness research. Despite such adjustments, the results of t...
International Normalized Ratio Humans Risk Factors Surgical Procedures, Operative Postoperative Complications Plasma Machine Learning Logistic Models Blood Component Transfusion Precision Medicine Blood Loss, Surgical Retrospective Studies Cluster Analysis
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Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
The clinical, granular data in electronic health record (EHR) systems provide opportunities to improve patient care using informatics retrieval methods. However, it is well known that many methodological obstacles exist in accessing data within EHRs....
Data Mining Patient Outcome Assessment Medical Records Systems, Computerized Erectile Dysfunction Urinary Incontinence Middle Aged Postoperative Complications Natural Language Processing Prostatic Neoplasms Humans Algorithms Electronic Health Records Aged Male
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Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study.

BMJ open Apr 10, 2018
INTRODUCTION: Mortality and morbidity following surgery are pressing public health concerns in the USA. Traditional prediction models for postoperative adverse outcomes demonstrate good discrimination at the population level, but the ability to forec...
Postoperative Complications Missouri Humans Machine Learning Algorithms Retrospective Studies Adult
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Healthcare-associated ventriculitis and meningitis in a neuro-ICU: Incidence and risk factors selected by machine learning approach.

Journal of critical care Mar 23, 2018
PURPOSE: To define the incidence of healthcare-associated ventriculitis and meningitis (HAVM) in the neuro-ICU and to identify HAVM risk factors using tree-based machine learning (ML) algorithms.
Humans Cross Infection Machine Learning Adolescent Adult Meningitis, Bacterial Incidence Prospective Studies Male Child, Preschool Russia Intensive Care Units Middle Aged Child Craniotomy Female Postoperative Complications Surgical Wound Infection Cerebral Ventriculitis Risk Factors Young Adult
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