AIMC Topic: Surgical Procedures, Operative

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Comprehensive overview of artificial intelligence in surgery: a systematic review and perspectives.

Pflugers Archiv : European journal of physiology Mar 15, 2025
The rapid integration of artificial intelligence (AI) into surgical practice necessitates a comprehensive evaluation of its applications, challenges, and physiological impact. This systematic review synthesizes current AI applications in surgery, wit...
Humans Artificial Intelligence Machine Learning Surgical Procedures, Operative
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Using Natural Language Processing in the LACE Index Scoring Tool to Predict Unplanned Trauma and Surgical Readmissions in South Africa.

World journal of surgery Mar 9, 2025
BACKGROUND: Unplanned and potentially avoidable readmission within 30 days post discharge is a major financial burden.
Male Middle Aged Risk Assessment Female Aged Retrospective Studies Adult Feasibility Studies Electronic Health Records Patient Readmission Comorbidity Humans Natural Language Processing Surgical Procedures, Operative South Africa Wounds and Injuries
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Using Machine Learning to Improve Readmission Risk in Surgical Patients in South Africa.

International journal of environmental research and public health Feb 26, 2025
Unplanned readmission within 30 days is a major challenge both globally and in South Africa. The aim of this study was to develop a machine learning model to predict unplanned surgical and trauma readmission to a public hospital in South Africa from ...
Adult Male Middle Aged Patient Readmission Surgical Procedures, Operative Natural Language Processing Retrospective Studies South Africa Humans Machine Learning Female Aged
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Development and validation of an interpretable machine learning model to predict major adverse cardiovascular events after noncardiac surgery in geriatric patients: a prospective study.

International journal of surgery (London, England) Feb 1, 2025
BACKGROUND: Major adverse cardiovascular events (MACEs) within 30 days following noncardiac surgery are prognostically relevant. Accurate prediction of risk and modifiable risk factors for postoperative MACEs is critical for surgical planning and pat...
Female Aged, 80 and over Risk Factors Male Aged Cardiovascular Diseases Humans Risk Assessment Machine Learning Postoperative Complications Prospective Studies Surgical Procedures, Operative
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Artificial intelligence in surgery: evolution, trends, and future directions.

International journal of surgery (London, England) Feb 1, 2025
Artificial intelligence (AI) is significantly transforming surgery by enhancing precision, decision-making, and patient outcomes. This bibliometric analysis examines AI's impact on surgery, highlighting research trends, key contributors, and evolving...
Bibliometrics General Surgery Surgical Procedures, Operative Humans Artificial Intelligence Forecasting
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Can surgeons trust AI? Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI).

Langenbeck's archives of surgery Jan 28, 2025
PURPOSE: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery.
Surgeons Surgical Procedures, Operative Humans Artificial Intelligence Machine Learning
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Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach.

Anaesthesia Jan 8, 2025
INTRODUCTION: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predi...
Aged Aged, 80 and over Male Regression Analysis Elective Surgical Procedures Middle Aged Postoperative Complications Machine Learning Databases, Factual Female Humans Surgical Procedures, Operative
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Machine learning-based predictive models for perioperative major adverse cardiovascular events in patients with stable coronary artery disease undergoing noncardiac surgery.

Computer methods and programs in biomedicine Dec 13, 2024
BACKGROUND AND OBJECTIVE: Accurate prediction of perioperative major adverse cardiovascular events (MACEs) is crucial, as it not only aids clinicians in comprehensively assessing patients' surgical risks and tailoring personalized surgical and periop...
Male Humans Middle Aged Surgical Procedures, Operative Female Machine Learning Risk Assessment ROC Curve Risk Factors Bayes Theorem Aged Coronary Artery Disease
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Machine learning adjusted sequential CUSUM-analyses are superior to cross-sectional analysis of excess mortality after surgery.

International journal of medical informatics Nov 9, 2024
BACKGROUND: The assessment of clinical outcome quality, particularly in surgery, is crucial for healthcare improvement. Traditional cross-sectional analyses often fall short in timely and systematic identification of clinical quality issues. This stu...
Postoperative Complications Female Surgical Procedures, Operative Severity of Illness Index Cross-Sectional Studies Humans Hospital Mortality Male Machine Learning Algorithms
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Assessment of machine learning classifiers for predicting intraoperative blood transfusion in non-cardiac surgery.

Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine Oct 18, 2024
BACKGROUND: This study aimed to develop a machine learning classifier for predicting intraoperative blood transfusion in non-cardiac surgeries.
Female Aged Male Middle Aged Humans Machine Learning Algorithms Area Under Curve Surgical Procedures, Operative Intraoperative Care ROC Curve Logistic Models Blood Transfusion
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