AIMC Topic: Elective Surgical Procedures

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Changes in maternal placental growth factor levels during term labour.

Placenta Nov 8, 2017
UNLABELLED: Placental growth factor (PlGF) has important angiogenic function that is critical to placental development. Lower levels of PlGF are associated with fetal growth restriction, pre-eclampsia and intrapartum fetal compromise. The aim of this...
Adult Cohort Studies Elective Surgical Procedures Down-Regulation Term Birth Labor, Obstetric Placenta Growth Factor Female Humans Cesarean Section Prospective Studies Parity Reproducibility of Results Biomarkers Pregnancy
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Drivers of Prolonged Hospitalization Following Spine Surgery: A Game-Theory-Based Approach to Explaining Machine Learning Models.

The Journal of bone and joint surgery. American volume Jan 6, 2021
BACKGROUND: Understanding the interactions between variables that predict prolonged hospital length of stay (LOS) following spine surgery can help uncover drivers of this risk in patients. This study utilized a novel game-theory-based approach to dev...
Intensive Care Units Female Risk Factors Male Middle Aged Humans Machine Learning Critical Care Computer Simulation Comorbidity Spinal Diseases Length of Stay Nervous System Diseases Game Theory United States Medicaid Elective Surgical Procedures
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Reducing Intraoperative Hypotension Using a Machine Learning-Derived Early Warning System.

JAMA Aug 25, 2020
Humans Machine Learning Elective Surgical Procedures Hypotension
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Randomized Clinical Trials of Artificial Intelligence.

JAMA Mar 17, 2020
Machine Learning Randomized Controlled Trials as Topic Elective Surgical Procedures Hypotension Humans Artificial Intelligence
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Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial.

JAMA Mar 17, 2020
IMPORTANCE: Intraoperative hypotension is associated with increased morbidity and mortality. A machine learning-derived early warning system to predict hypotension shortly before it occurs has been developed and validated.
Humans Machine Learning Female Aged Male Anesthesia, General Elective Surgical Procedures Tertiary Care Centers Hypotension Intraoperative Complications Middle Aged Time Factors Blood Pressure Determination Operative Time
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Can machine learning optimize the efficiency of the operating room in the era of COVID-19?

Canadian journal of surgery. Journal canadien de chirurgie Jan 1, 2020
The cancellation of large numbers of surgical procedures because of the coronavirus disease 2019 (COVID-19) pandemic has drastically extended wait lists and negatively affected patient care and experience. As many facilities resume clinical work owin...
Pneumonia, Viral Female Male Ontario Operative Time Appointments and Schedules Elective Surgical Procedures Humans Efficiency, Organizational Coronavirus Infections Machine Learning Operating Rooms Pandemics COVID-19
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Novel Machine Learning Approach to Identify Preoperative Risk Factors Associated With Super-Utilization of Medicare Expenditure Following Surgery.

JAMA surgery Nov 1, 2019
IMPORTANCE: Typically defined as the top 5% of health care users, super-utilizers are responsible for an estimated 40% to 55% of all health care costs. Little is known about which factors may be associated with increased risk of long-term postoperati...
United States Postoperative Care Elective Surgical Procedures Medicare Patient Acceptance of Health Care Health Expenditures Preoperative Care Risk Factors Aged Male Risk Assessment Humans Machine Learning Retrospective Studies Female
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A Predictive Model for Determining Patients Not Requiring Prolonged Hospital Length of Stay After Elective Primary Total Hip Arthroplasty.

Anesthesia and analgesia Jul 1, 2019
BACKGROUND: Hospital length of stay (LOS) is an important quality metric for total hip arthroplasty. Accurately predicting LOS is important to expectantly manage bed utilization and other hospital resources. We aimed to develop a predictive model for...
Male Decision Support Techniques Predictive Value of Tests Humans Time Factors Elective Surgical Procedures Female Retrospective Studies Middle Aged Machine Learning Risk Factors Arthroplasty, Replacement, Hip Risk Assessment Aged Treatment Outcome Length of Stay
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Development of machine learning algorithms for prediction of discharge disposition after elective inpatient surgery for lumbar degenerative disc disorders.

Neurosurgical focus Nov 1, 2018
OBJECTIVEIf not anticipated and prearranged, hospital stay can be prolonged while the patient awaits placement in a rehabilitation unit or skilled nursing facility following elective spine surgery. Preoperative prediction of the likelihood of postope...
Algorithms Female Aged Adult Predictive Value of Tests Elective Surgical Procedures Lumbar Vertebrae Male Middle Aged Humans Machine Learning Patient Discharge Intervertebral Disc Degeneration
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Feasibility of Automated Propofol Sedation for Transcatheter Aortic Valve Implantation: A Pilot Study.

Anesthesia and analgesia Nov 1, 2017
BACKGROUND: Recently, several trials have shown that closed-loop sedation is feasible. No study has used automated sedation in extremely frail patients, such as those scheduled for transcatheter aortic valve implantation (TAVI). We developed and test...
Male Transcatheter Aortic Valve Replacement Hemodynamics Consciousness Monitors Pilot Projects Automation Monitoring, Intraoperative Robotics Decision Support Systems, Clinical Respiration Female Elective Surgical Procedures Treatment Outcome Anesthesia, Intravenous Humans Risk Factors Equipment Design Propofol Clinical Alarms Prospective Studies Aged Feasibility Studies Hypnotics and Sedatives Aged, 80 and over Anesthetics, Intravenous
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