AIMC Topic: Elective Surgical Procedures

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Maternal and umbilical cord plasma purine concentrations after oral carbohydrate loading prior to elective Cesarean delivery under spinal anesthesia: a randomized controlled trial.

BMC pregnancy and childbirth May 10, 2025
OBJECTIVE: To evaluate the effect of preoperative intake of oral carbohydrates versus standard preoperative fasting prior to elective cesarean delivery on plasma purine levels (hypoxanthine, xanthine, and uric acid) and beta-hydroxybutyrate (β-HB) in...
Uric Acid Cesarean Section Preoperative Care Adult Anesthesia, Spinal 3-Hydroxybutyric Acid Hypoxanthine Fetal Blood Humans Fasting Xanthine Purines Diet, Carbohydrate Loading Prospective Studies Elective Surgical Procedures Pregnancy Female
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90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison study.

International journal of surgery (London, England) Apr 1, 2025
BACKGROUND: Machine Learning (ML) is increasingly being adopted in biomedical research, however, its potential for outcome prediction in visceral surgery remains uncertain. This study compares the potential of ML methods for preoperative 90-day morta...
Retrospective Studies Humans Female Middle Aged Machine Learning Aged Risk Assessment Male ROC Curve Elective Surgical Procedures Viscera
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Statistical models versus machine learning approach for competing risks in proctological surgery.

Updates in surgery Jan 25, 2025
Clinical risk prediction models are ubiquitous in many surgical domains. The traditional approach to develop these models involves the use of regression analysis. Machine learning algorithms are gaining in popularity as an alternative approach for pr...
Aged Adult Male Middle Aged Risk Assessment Humans Machine Learning Female Postoperative Complications Logistic Models Models, Statistical Elective Surgical Procedures Hemorrhoids
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Adverse Outcomes after Cemented and Cementless Primary Elective Total Hip Arthroplasty in 60,064 Matched Patients: A Study of Data from the Swedish Arthroplasty Register.

The Journal of arthroplasty Jan 13, 2025
BACKGROUND: The choice between cemented and cementless fixation in primary elective total hip arthroplasty (THA) remains a subject of ongoing debate. However, comparisons between the two are subject to limited adjustments for patient characteristics,...
Aged, 80 and over Male Middle Aged Postoperative Complications Treatment Outcome Humans Female Sweden Aged Bone Cements Elective Surgical Procedures Prosthesis Failure Registries Hip Prosthesis Propensity Score Periprosthetic Fractures Reoperation Cementation Arthroplasty, Replacement, Hip
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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...
Humans Machine Learning Databases, Factual Female Aged Regression Analysis Aged, 80 and over Elective Surgical Procedures Male Surgical Procedures, Operative Middle Aged Postoperative Complications
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Protocol for the impact of machine learning-based clinician decision support algorithims in perioperative care (IMAGINATIVE) in Singapore general hospital : a large prospective randomised controlled trial.

BMJ open Dec 20, 2024
INTRODUCTION: As surgical accessibility improves, the incidence of postoperative complications is expected to rise. The implementation of a precise and objective risk stratification tool holds the potential to mitigate these complications by early id...
Adult Perioperative Care Male Middle Aged Risk Assessment Postoperative Complications Intensive Care Units Decision Support Systems, Clinical Female Randomized Controlled Trials as Topic Aged Elective Surgical Procedures Humans Aged, 80 and over Singapore Machine Learning Young Adult Hospitals, General Prospective Studies
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Prediction of Two Year Survival Following Elective Repair of Abdominal Aortic Aneurysms at A Single Centre Using A Random Forest Classification Algorithm.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Dec 9, 2024
OBJECTIVE: The decision to electively repair an abdominal aortic aneurysm (AAA) involves balancing the risk of rupture, peri-procedural death, and life expectancy. Random forest classifiers (RFCs) are powerful machine learning algorithms. The aim of ...
Endovascular Procedures Male Middle Aged Risk Assessment Time Factors Treatment Outcome Predictive Value of Tests Aortic Aneurysm, Abdominal Elective Surgical Procedures Random Forest Retrospective Studies Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Algorithms
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Development and validation of an artificial intelligence system for surgical case length prediction.

Surgery Nov 29, 2024
BACKGROUND: Accurate case length estimation is a vital part of optimizing operating room use; however, significant inaccuracies exist with current solutions. The purpose of this study was to develop and validate an artificial intelligence system for ...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Operative Time Natural Language Processing Elective Surgical Procedures Operating Rooms
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Bowel preparation before elective right colectomy: Multitreatment machine-learning analysis on 2,617 patients.

Surgery Sep 25, 2024
BACKGROUND: In the worldwide, real-life setting, some candidates for right colectomy still receive no bowel preparation, some receive oral antibiotics alone, some receive mechanical bowel preparation alone, and some receive mechanical bowel preparati...
Preoperative Care Antibiotic Prophylaxis Surgical Wound Infection Colectomy Machine Learning Anastomotic Leak Humans Anti-Bacterial Agents Propensity Score Female Cathartics Aged Male Adult Middle Aged Elective Surgical Procedures Administration, Oral
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Identifying Elective Induction of Labor among a Diverse Pregnant Population from Electronic Health Records within a Large Integrated Health Care System.

American journal of perinatology Aug 29, 2024
OBJECTIVE:  Distinguishing between medically indicated induction of labor (iIOL) and elective induction of labor (eIOL) is a daunting process for researchers. We aimed to develop a Natural Language Processing (NLP) algorithm to identify eIOLs from el...
Female Young Adult Adult Natural Language Processing Humans Elective Surgical Procedures Algorithms Labor, Induced Retrospective Studies California Electronic Health Records Delivery of Health Care, Integrated Pregnancy
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