AIMC Topic: 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...
Humans Artificial Intelligence Forecasting Bibliometrics General Surgery Surgical Procedures, Operative
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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.
Artificial Intelligence Machine Learning Surgeons Humans Surgical Procedures, Operative
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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...
Databases, Factual Female Aged Aged, 80 and over Humans Machine Learning Regression Analysis Elective Surgical Procedures Surgical Procedures, Operative Male Middle Aged Postoperative Complications
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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...
Coronary Artery Disease Surgical Procedures, Operative Risk Assessment ROC Curve Bayes Theorem Aged Female Male Risk Factors Middle Aged Humans Machine Learning
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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...
Humans Severity of Illness Index Hospital Mortality Surgical Procedures, Operative Machine Learning Cross-Sectional Studies Algorithms Male Female Postoperative Complications
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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 Humans Machine Learning Algorithms Blood Transfusion Area Under Curve Surgical Procedures, Operative Intraoperative Care Middle Aged ROC Curve Logistic Models
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AI in Surgery: Navigating Trends and Managerial Implications Through Bibliometric and Text Mining Odyssey.

Surgical innovation Oct 4, 2024
This research employs bibliometric and text-mining analysis to explore artificial intelligence (AI) advancements within surgical procedures. The growing significance of AI in healthcare underscores the need for healthcare managers to prioritize inves...
General Surgery Surgical Procedures, Operative Humans Artificial Intelligence Bibliometrics Data Mining
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Development and Internal-External Validation of a Post-Operative Mortality Risk Calculator for Pediatric Surgical Patients in Low- and Middle- Income Countries Using Machine Learning.

Journal of pediatric surgery Aug 29, 2024
BACKGROUND: The purpose of this study was to develop and validate a mortality risk algorithm for pediatric surgery patients treated at KidsOR sites in 14 low- and middle-income countries.
Child, Preschool Child Hospital Mortality Developing Countries Surgical Procedures, Operative Machine Learning Postoperative Complications Algorithms Female Infant Humans Retrospective Studies Male Adolescent Risk Assessment
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Development and Validation of an Explainable Machine Learning Model for Predicting Myocardial Injury After Noncardiac Surgery in Two Centers in China: Retrospective Study.

JMIR aging Jul 26, 2024
BACKGROUND: Myocardial injury after noncardiac surgery (MINS) is an easily overlooked complication but closely related to postoperative cardiovascular adverse outcomes; therefore, the early diagnosis and prediction are particularly important.
Middle Aged China Humans Female Risk Assessment Postoperative Complications Surgical Procedures, Operative Aged Male Machine Learning Retrospective Studies
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A novel approach to forecast surgery durations using machine learning techniques.

Health care management science Jul 10, 2024
This study presents a methodology for predicting the duration of surgical procedures using Machine Learning (ML). The methodology incorporates a new set of predictors emphasizing the significance of surgical team dynamics and composition, including e...
Male Operative Time Humans Surgical Procedures, Operative Machine Learning Operating Rooms Forecasting Patient Care Team Female
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