AIMC Topic: Postoperative Complications

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Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients.

PloS one Dec 30, 2024
INTRODUCTION: Pancreaticoduodenectomy (PD) for patients with pancreatic ductal adenocarcinoma (PDAC) is associated with a high risk of postoperative complications (PoCs) and risk prediction of these is therefore critical for optimal treatment plannin...
Carcinoma, Pancreatic Ductal Humans Pancreaticoduodenectomy Risk Assessment Neural Networks, Computer Postoperative Complications Female Deep Learning Aged Pancreatic Neoplasms Male Middle Aged
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Predicting lack of clinical improvement following varicose vein ablation using machine learning.

Journal of vascular surgery. Venous and lymphatic disorders Dec 26, 2024
OBJECTIVE: Varicose vein ablation is generally indicated in patients with active/healed venous ulcers. However, patient selection for intervention in individuals without venous ulcers is less clear. Tools that predict lack of clinical improvement (LC...
Varicose Veins Time Factors Treatment Outcome Predictive Value of Tests Ablation Techniques Retrospective Studies Clinical Decision-Making Female Risk Factors Aged Male Middle Aged Risk Assessment Postoperative Complications Humans Machine Learning Decision Support Techniques Databases, Factual
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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...
Prospective Studies Intensive Care Units Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged Humans Machine Learning Risk Assessment Postoperative Complications Decision Support Systems, Clinical Randomized Controlled Trials as Topic Elective Surgical Procedures Singapore Hospitals, General Perioperative Care
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Using artificial intelligence to predict post-operative outcomes in congenital heart surgeries: a systematic review.

BMC cardiovascular disorders Dec 20, 2024
INTRODUCTION: Congenital heart disease (CHD) represents the most common group of congenital anomalies, constitutes a significant contributor to the burden of non-communicable diseases, highlighting the critical need for improved risk assessment tools...
Humans Artificial Intelligence Decision Support Techniques Female Male Risk Assessment Postoperative Complications Infant Adolescent Infant, Newborn Risk Factors Young Adult Adult Predictive Value of Tests Cardiac Surgical Procedures Heart Defects, Congenital Time Factors Child, Preschool Child Treatment Outcome
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Machine learning models predict the progression of long-term renal insufficiency in patients with renal cancer after radical nephrectomy.

BMC nephrology Dec 18, 2024
BACKGROUND: Chronic Kidney Disease (CKD) is a common severe complication after radical nephrectomy in patients with renal cancer. The timely and accurate prediction of the long-term progression of renal function post-surgery is crucial for early inte...
Support Vector Machine Kidney Neoplasms Carcinoma, Renal Cell Nephrectomy Machine Learning Humans Retrospective Studies Female Male Aged Middle Aged Postoperative Complications Disease Progression Renal Insufficiency, Chronic
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Utilizing machine learning approaches to investigate the relationship between cystatin C and serious complications in esophageal cancer patients after esophagectomy.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Dec 16, 2024
BACKGROUND: The purpose of this study is to investigate the relationship between preoperative cystatin C levels and the risk of serious postoperative complications in esophageal cancer (EC) patients, utilizing advanced machine learning (ML) methodolo...
Humans Machine Learning Female Aged Male Logistic Models Predictive Value of Tests Cystatin C Esophagectomy Esophageal Neoplasms Middle Aged Postoperative Complications Cohort Studies ROC Curve
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Development and validation of interpretable machine learning models for postoperative pneumonia prediction.

Frontiers in public health Dec 11, 2024
BACKGROUND: Postoperative pneumonia, a prevalent form of hospital-acquired pneumonia, poses significant risks to patients' prognosis and even their lives. This study aimed to develop and validate a predictive model for postoperative pneumonia in surg...
Middle Aged Female Postoperative Complications Aged Humans Adult Pneumonia Machine Learning Male Algorithms Retrospective Studies
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Impact of Inflammation After Cardiac Surgery on 30-Day Mortality and Machine Learning Risk Prediction.

Journal of cardiothoracic and vascular anesthesia Dec 9, 2024
OBJECTIVES: To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develop a machine learning model to predict SIRS.
Cohort Studies Systemic Inflammatory Response Syndrome Predictive Value of Tests Cardiac Surgical Procedures Machine Learning Retrospective Studies Female Risk Factors Aged Male Middle Aged Risk Assessment Postoperative Complications Humans
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Identification of a Susceptible and High-Risk Population for Postoperative Systemic Inflammatory Response Syndrome in Older Adults: Machine Learning-Based Predictive Model.

Journal of medical Internet research Nov 22, 2024
BACKGROUND: Systemic inflammatory response syndrome (SIRS) is a serious postoperative complication among older adult surgical patients that frequently develops into sepsis or even death. Notably, the incidences of SIRS and sepsis steadily increase wi...
Postoperative Complications Systemic Inflammatory Response Syndrome Aged Aged, 80 and over Male Risk Assessment Humans Machine Learning Female Risk Factors
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Perioperative risk scores: prediction, pitfalls, and progress.

Current opinion in anaesthesiology Nov 20, 2024
PURPOSE OF REVIEW: Perioperative risk scores aim to risk-stratify patients to guide their evaluation and management. Several scores are established in clinical practice, but often do not generalize well to new data and require ongoing updates to impr...
Humans Machine Learning Reproducibility of Results Perioperative Care Risk Factors Risk Assessment Postoperative Complications Perioperative Period
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