AIMC Topic: Postoperative Complications

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Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke.

Computers in biology and medicine Oct 22, 2019
Treatment selection is becoming increasingly more important in acute ischemic stroke patient care. Clinical variables and radiological image biomarkers (old age, pre-stroke mRS, NIHSS, occlusion location, ASPECTS, among others) have an important role...
Computed Tomography Angiography Cerebral Angiography Registries Stroke Brain Ischemia Endovascular Procedures Neural Networks, Computer Prospective Studies Female Aged Aged, 80 and over Male Middle Aged Postoperative Complications Predictive Value of Tests Humans
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Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning Algorithms.

World neurosurgery Oct 18, 2019
BACKGROUND: Deep brain stimulation (DBS) surgery is an option for patients experiencing medically resistant neurologic symptoms. DBS complications are rare; finding significant predictors requires a large number of surgeries. Machine learning algorit...
Risk Factors Aged Male Middle Aged Postoperative Complications Predictive Value of Tests Registries Deep Brain Stimulation Humans Machine Learning Algorithms Retrospective Studies Female
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An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data.

British journal of anaesthesia Oct 15, 2019
BACKGROUND: Rapid, preoperative identification of patients with the highest risk for medical complications is necessary to ensure that limited infrastructure and human resources are directed towards those most likely to benefit. Existing risk scores ...
Aged Humans Adolescent Aged, 80 and over Machine Learning Young Adult Electronic Health Records Middle Aged Hospital Mortality Health Status Adult Female Risk Assessment California Male Postoperative Complications Risk Factors Preoperative Period Comorbidity
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Identification of postoperative complications using electronic health record data and machine learning.

American journal of surgery Oct 9, 2019
BACKGROUND: Using the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) complication status of patients who underwent an operation at the University of Colorado Hospital, we developed a machine learning algorithm for ...
Humans Machine Learning Algorithms Adult Male Middle Aged Postoperative Complications ROC Curve Databases, Factual Electronic Health Records Female Aged United States Models, Statistical Predictive Value of Tests Quality Improvement
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Prediction of complication related death after radical cystectomy for bladder cancer with machine learning methodology.

Scandinavian journal of urology Sep 25, 2019
To create a pre-operatively usable tool to identify patients at high risk of early death (within 90 days post-operatively) after radical cystectomy and to assess potential risk factors for post-operative and surgery related mortality. Material consi...
Postoperative Complications Humans Urinary Bladder Neoplasms Machine Learning Cystectomy Aged, 80 and over Prognosis Male Retrospective Studies Middle Aged Female Risk Assessment Risk Factors Aged
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Deep-learning model for predicting 30-day postoperative mortality.

British journal of anaesthesia Sep 23, 2019
BACKGROUND: Postoperative mortality occurs in 1-2% of patients undergoing major inpatient surgery. The currently available prediction tools using summaries of intraoperative data are limited by their inability to reflect shifting risk associated with...
Humans Neural Networks, Computer Postoperative Period Missouri Algorithms Comorbidity Retrospective Studies Deep Learning Risk Assessment Support Vector Machine Postoperative Complications Predictive Value of Tests Surgical Procedures, Operative
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Perioperative intelligence: applications of artificial intelligence in perioperative medicine.

Journal of clinical monitoring and computing Aug 29, 2019
Risk Artificial Intelligence Humans Postoperative Complications Perioperative Period Perioperative Care Perioperative Medicine Big Data Decision Support Systems, Clinical Patient Readmission Medical Informatics Machine Learning Algorithms Patient Safety
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Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty.

Journal of shoulder and elbow surgery Aug 3, 2019
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict postoperative complications after total shoulder arthroplasty (TSA) than comorbidity indices.
Supervised Machine Learning Hematocrit Patient Readmission Smoking Reoperation Serum Albumin Arthroplasty, Replacement, Shoulder Body Mass Index Age Factors Blood Transfusion Postoperative Complications Databases, Factual Operative Time Comorbidity Female Predictive Value of Tests Humans Length of Stay Aged Forecasting ROC Curve Male Middle Aged
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What Can We Expect Following Anterior Total Hip Arthroplasty on a Regular Operating Table? A Validation Study of an Artificial Intelligence Algorithm to Monitor Adverse Events in a High-Volume, Nonacademic Setting.

The Journal of arthroplasty Aug 3, 2019
BACKGROUND: Quality monitoring is increasingly important to support and assure sustainability of the orthopedic practice. Surgeons in nonacademic settings often lack resources to accurately monitor quality of care. Widespread use of electronic medica...
Humans Artificial Intelligence Algorithms Electronic Health Records Postoperative Complications Arthroplasty, Replacement, Hip Operating Tables
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Machine learning methods applied to audit of surgical outcomes after treatment for cancer of the head and neck.

The British journal of oral & maxillofacial surgery Jul 26, 2019
Most surgical specialties have attempted to address concerns about unfair comparison of outcomes by "risk-adjusting" data to benchmark specialty-specific outcomes that are indicative of the quality of care. We are building on previous work in head an...
Treatment Outcome Head and Neck Neoplasms Clinical Audit Humans Machine Learning Carcinoma, Squamous Cell Postoperative Complications
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