AIMC Topic: Preoperative Period

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Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study.

PloS one Sep 4, 2020
BACKGROUND: Congenital heart disease accounts for almost a third of all major congenital anomalies. Congenital heart defects have a significant impact on morbidity, mortality and health costs for children and adults. Research regarding the risk of pr...
Female Male Risk Assessment Pilot Projects Registries Preoperative Period Heart Defects, Congenital Humans Artificial Intelligence Retrospective Studies
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Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 25, 2020
BACKGROUND: Preoperative detection of lymph node (LN) metastasis is critical for planning treatments in colon cancer (CC). The clinical diagnostic criteria based on the size of the LNs are not sensitive to determine metastasis using CT images. In thi...
Female Aged Adult Sensitivity and Specificity Male Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Middle Aged Pilot Projects Lymphatic Metastasis Colonic Neoplasms Preoperative Period
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A novel and simple machine learning algorithm for preoperative diagnosis of acute appendicitis in children.

Pediatric surgery international Apr 20, 2020
INTRODUCTION: There is a tendency toward nonoperative management of appendicitis resulting in an increasing need for preoperative diagnosis and classification. For medical purposes, simple conceptual decision-making models that can learn are widely u...
Humans Machine Learning Diagnosis, Differential Acute Disease Appendicitis Preoperative Period Appendectomy Algorithms Female Male Child, Preschool Child
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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Nature communications Mar 6, 2020
Accurate identification of axillary lymph node (ALN) involvement in patients with early-stage breast cancer is important for determining appropriate axillary treatment options and therefore avoiding unnecessary axillary surgery and complications. Her...
Reference Standards Preoperative Period Elasticity Imaging Techniques Lymph Node Excision Aged, 80 and over Axilla Humans Adult Neoplasm Staging Prospective Studies Breast Neoplasms Breast Prognosis Middle Aged Mastectomy Female Ultrasonography Deep Learning Aged ROC Curve Image Processing, Computer-Assisted Lymph Nodes Lymphatic Metastasis
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Assessment of utilization efficiency using machine learning techniques: A study of heterogeneity in preoperative healthcare utilization among super-utilizers.

American journal of surgery Jan 27, 2020
INTRODUCTION: In the United States, 5% of patients represent up to 55% of all health care costs. This study sought to define healthcare utilization patterns among super-utilizers, as well as assess possible variation in patient outcomes.
Treatment Outcome Medicare Arthroplasty, Replacement, Knee Arthroplasty, Replacement, Hip Preoperative Period Aged Aged, 80 and over Male Cohort Studies United States Patient Acceptance of Health Care Humans Machine Learning Female
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Preoperative prediction of tumour deposits in rectal cancer by an artificial neural network-based US radiomics model.

European radiology Dec 11, 2019
OBJECTIVE: To develop a machine learning-based ultrasound (US) radiomics model for predicting tumour deposits (TDs) preoperatively.
Preoperative Period Extranodal Extension Middle Aged Ultrasonography Magnetic Resonance Imaging Rectal Neoplasms Humans Neural Networks, Computer Machine Learning Prospective Studies Female Aged Adult Male
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A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging.

European radiology experimental Oct 17, 2019
BACKGROUND: To develop a supervised machine learning (ML) algorithm predicting above- versus below-median overall survival (OS) from diffusion-weighted imaging-derived radiomic features in patients with pancreatic ductal adenocarcinoma (PDAC).
Preoperative Period Diffusion Magnetic Resonance Imaging Survival Rate Humans Models, Theoretical Machine Learning Pancreatic Neoplasms Retrospective Studies Predictive Value of Tests Carcinoma, Pancreatic Ductal
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An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data.

British journal of anaesthesia Oct 15, 2019
BACKGROUND: Rapid, preoperative identification of patients with the highest risk for medical complications is necessary to ensure that limited infrastructure and human resources are directed towards those most likely to benefit. Existing risk scores ...
Young Adult Adult Male Middle Aged Risk Assessment Postoperative Complications Comorbidity Adolescent Hospital Mortality Health Status Electronic Health Records Female Risk Factors Aged Aged, 80 and over Humans Machine Learning California Preoperative Period
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Preoperative Prediction of Value Metrics and a Patient-Specific Payment Model for Primary Total Hip Arthroplasty: Development and Validation of a Deep Learning Model.

The Journal of arthroplasty May 2, 2019
BACKGROUND: The primary objective was to develop and test an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition for total hip arthroplasty. The secondary objective was to create...
Osteoarthritis, Hip Fees and Charges Reproducibility of Results Inpatients Deep Learning Humans Aged Arthroplasty, Replacement, Hip Length of Stay Aged, 80 and over Databases, Factual Preoperative Period Male Female Cohort Studies Social Class Comorbidity Health Care Costs ROC Curve United States
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Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images.

European radiology Mar 11, 2019
OBJECTIVE: To predict the local recurrence of giant cell bone tumors (GCTB) on MR features and the clinical characteristics after curettage using a deep convolutional neural network (CNN).
Giant Cell Tumor of Bone Adolescent Curettage Logistic Models Follow-Up Studies Female Magnetic Resonance Imaging Young Adult Neoplasm Staging Humans Bone Neoplasms Adult Neoplasm Recurrence, Local Neural Networks, Computer Male Image Interpretation, Computer-Assisted Middle Aged Preoperative Period Bone and Bones Algorithms Prognosis
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