AIMC Topic: Preoperative Period

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Preoperative prediction model for risk of readmission after total joint replacement surgery: a random forest approach leveraging NLP and unfairness mitigation for improved patient care and cost-effectiveness.

Journal of orthopaedic surgery and research May 10, 2024
BACKGROUND: The Center for Medicare and Medicaid Services (CMS) imposes payment penalties for readmissions following total joint replacement surgeries. This study focuses on total hip, knee, and shoulder arthroplasty procedures as they account for mo...
Female Aged Aged, 80 and over Male Middle Aged Humans Machine Learning Quality Improvement Arthroplasty, Replacement, Knee Arthroplasty, Replacement, Hip Preoperative Period Arthroplasty, Replacement Risk Assessment Natural Language Processing Random Forest Cost-Benefit Analysis Patient Readmission
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Deep Learning for prediction of late recurrence of retinal detachment using preoperative and postoperative ultra-wide field imaging.

Acta ophthalmologica Apr 29, 2024
PURPOSE: To elaborate a deep learning (DL) model for automatic prediction of late recurrence (LR) of rhegmatogenous retinal detachment (RRD) using pseudocolor and fundus autofluorescence (AF) ultra-wide field (UWF) images obtained preoperatively and ...
Vitrectomy Humans Male Retinal Detachment Retrospective Studies Predictive Value of Tests Female Scleral Buckling Postoperative Period Aged Middle Aged Preoperative Period Adult Deep Learning Recurrence Follow-Up Studies Fluorescein Angiography Visual Acuity
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A computed tomography urography-based machine learning model for predicting preoperative pathological grade of upper urinary tract urothelial carcinoma.

Cancer medicine Jan 4, 2024
OBJECTIVES: Development and validation of a computed tomography urography (CTU)-based machine learning (ML) model for prediction of preoperative pathology grade of upper urinary tract urothelial carcinoma (UTUC).
Humans Aged Male Middle Aged ROC Curve Urologic Neoplasms Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Neoplasm Grading Carcinoma, Transitional Cell Preoperative Period Urography
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Development of an MRI-Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor.

Journal of magnetic resonance imaging : JMRI Oct 28, 2023
BACKGROUND: Accurate preoperative histological stratification (HS) of intracranial solitary fibrous tumors (ISFTs) can help predict patient outcomes and develop personalized treatment plans. However, the role of a comprehensive model based on clinica...
Magnetic Resonance Imaging Feasibility Studies Preoperative Period Solitary Fibrous Tumors Brain Neoplasms Male Middle Aged Deep Learning ROC Curve Humans Retrospective Studies Female Aged Young Adult Adult Radiomics
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Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total hip arthroplasty.

Journal of orthopaedic surgery and research Mar 15, 2022
PURPOSE: Preoperative three-dimensional planning is important for total hip arthroplasty. To simulate the placement of joint implants on computed tomography (CT), pelvis and femur must be segmented. Accurate and rapid segmentation of the hip joint is...
Hip Joint Arthroplasty, Replacement, Hip Preoperative Period Aged Aged, 80 and over Male Middle Aged Pelvis Humans Neural Networks, Computer Tomography, X-Ray Computed Female
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Postoperative delirium prediction using machine learning models and preoperative electronic health record data.

BMC anesthesiology Jan 3, 2022
BACKGROUND: Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging electronic health record (EHR) d...
Female Reproducibility of Results Aged Male Middle Aged Humans Postoperative Complications Cohort Studies Machine Learning Predictive Value of Tests Retrospective Studies Delirium Electronic Health Records Preoperative Period
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Machine learning-based preoperative datamining can predict the therapeutic outcome of sleep surgery in OSA subjects.

Scientific reports Jul 21, 2021
Increasing recognition of anatomical obstruction has resulted in a large variety of sleep surgeries to improve anatomic collapse of obstructive sleep apnea (OSA) and the prediction of whether sleep surgery will have successful outcome is very importa...
Humans Machine Learning Female Adult Male Middle Aged Oropharynx Logistic Models Treatment Outcome Sleep Apnea, Obstructive Preoperative Period Otorhinolaryngologic Surgical Procedures
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Artificial intelligence-based radiomics models in endometrial cancer: A systematic review.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Jun 24, 2021
BACKGROUND: Radiological preoperative assessment of endometrial cancer (EC) is in some cases not precise enough and its performances improvement could lead to a clinical benefit. Radiomics is a recent field of application of artificial intelligence (...
Female Neoplasm Staging Endometrial Neoplasms Preoperative Period Humans Artificial Intelligence
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Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning.

The Journal of surgical research Mar 27, 2021
BACKGROUND: There is a growing need to identify which bits of information are most valuable for healthcare providers. The aim of this study was to search for the highest impact variables in predicting postsurgery length of stay (LOS) for patients who...
Preoperative Period Coronary Artery Bypass Intraoperative Care Predictive Value of Tests Humans Coronary Artery Disease Risk Assessment Machine Learning Creatinine Postoperative Complications Forecasting Female Linear Models Length of Stay Databases, Factual Risk Factors Blood Loss, Surgical Aged Blood Transfusion Male Middle Aged
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Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients.

American journal of surgery Mar 26, 2021
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies to identify at-risk patients. We utilize preoperative claims data to predict postoperative opioid refill and new persistent use in opioid-naïve patien...
Prescription Drug Overuse Middle Aged Female Arthralgia Analgesics, Opioid Aged Comorbidity Humans Back Pain Young Adult ROC Curve Machine Learning Databases, Pharmaceutical Adult Headache Area Under Curve Insurance Claim Review Forecasting Male Postoperative Period Abdominal Pain Retrospective Studies Drug Prescriptions Preoperative Period
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