AIMC Topic: Surgical Wound Infection

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Machine-learning models for predicting surgical site infections using patient pre-operative risk and surgical procedure factors.

American journal of infection control Aug 22, 2022
BACKGROUND: Surgical site infections (SSIs) are a significant health care problem as they can cause increased medical costs and increased morbidity and mortality. Assessing a patient's preoperative risk factors can improve risk stratification and hel...
Bayes Theorem Morbidity Surgical Wound Infection Humans Machine Learning Risk Factors
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Risk Factors Analysis of Surgical Infection Using Artificial Intelligence: A Single Center Study.

International journal of environmental research and public health Aug 14, 2022
Surgical site infections (SSIs) have a major role in the evolution of medical care. Despite centuries of medical progress, the management of surgical infection remains a pressing concern. Nowadays, the SSIs continue to be an important factor able to...
Risk Factors Surgical Wound Infection Antibiotic Prophylaxis Humans Artificial Intelligence Anti-Bacterial Agents
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Outcomes of open transverse abdominis release for ventral hernias: a systematic review, meta-analysis and meta-regression of factors affecting them.

Hernia : the journal of hernias and abdominal wall surgery Aug 3, 2022
OBJECTIVES: The primary objectives were to evaluate Surgical Site Occurrences (SSO) and Surgical Site Occurrences requiring procedural Intervention (SSOPI) after open transversus abdominis release and to study various factors affecting it. Secondary ...
Humans Retrospective Studies Robotics Surgical Mesh Herniorrhaphy Abdominal Muscles Hernia, Ventral Surgical Wound Infection Recurrence
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Robotic colon surgery in obese patients: a systematic review and meta-analysis.

ANZ journal of surgery May 3, 2022
BACKGROUND: Colon cancer resection can be technically difficult in the obese (OB) population. Robotic surgery is a promising technique but its benefits remain uncertain in OB patients. The aim of this study is to compare OB versus non-obese (NOB) pat...
Prospective Studies Postoperative Complications Colon Humans Robotics Laparoscopy Robotic Surgical Procedures Length of Stay Treatment Outcome Obesity Surgical Wound Infection Anastomotic Leak
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Using Preoperative and Intraoperative Factors to Predict the Risk of Surgical Site Infections After Lumbar Spinal Surgery: A Machine Learning-Based Study.

World neurosurgery Mar 19, 2022
OBJECTIVE: To develop a model based on machine learning to predict surgical site infection (SSI) risk in patients after lumbar spinal surgery (LSS).
Surgical Wound Infection Humans Machine Learning Algorithms Retrospective Studies Risk Factors Neurosurgical Procedures
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Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Journal of healthcare engineering Nov 23, 2021
Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, and the value of quality nursing intervention was studied. In this study, 74 surgically treated gynecologic tumor patients were randomly selected from...
Machine Learning Retrospective Studies Female Risk Factors Breast Neoplasms Postoperative Complications Humans Neural Networks, Computer Factor Analysis, Statistical Surgical Wound Infection Genital Neoplasms, Female
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Applying Machine Learning Across Sites: External Validation of a Surgical Site Infection Detection Algorithm.

Journal of the American College of Surgeons Apr 5, 2021
BACKGROUND: Surgical complications have tremendous consequences and costs. Complication detection is important for quality improvement, but traditional manual chart review is burdensome. Automated mechanisms are needed to make this more efficient. To...
Quality Improvement Datasets as Topic Medical Audit Hospitals Surgical Wound Infection Female Risk Factors Aged Adult Male Middle Aged Humans Machine Learning Electronic Health Records
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Accelerating Surgical Site Infection Abstraction With a Semi-automated Machine-learning Approach.

Annals of surgery Oct 14, 2020
OBJECTIVE: To demonstrate that a semi-automated approach to health data abstraction provides significant efficiencies and high accuracy.
Quality Improvement Electronic Health Records Surgical Wound Infection Humans Machine Learning Algorithms
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Artificial intelligence-based tools to control healthcare associated infections: A systematic review of the literature.

Journal of infection and public health Jun 16, 2020
BACKGROUND: Healthcare-associated infections (HAIs) are the most frequent adverse events in healthcare and a global public health concern. Surveillance is the foundation for effective HAIs prevention and control. Manual surveillance is labor intensiv...
Computer Simulation Infection Control Retrospective Studies Humans Surgical Wound Infection Risk Factors Artificial Intelligence Cross Infection
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Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underreporting as current methodology relies heavily on manual chart review. The rapid adoption of electronic health records (EHRs) has the potential to allo...
Logistic Models Support Vector Machine Natural Language Processing Algorithms Surgical Wound Infection Humans Decision Trees Electronic Health Records Information Storage and Retrieval Machine Learning Sensitivity and Specificity
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