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 Child Diagnosis, Differential Acute Disease Appendicitis Preoperative Period Appendectomy Machine Learning Algorithms Female Male Child, Preschool
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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...
Mastectomy Reference Standards Preoperative Period Elasticity Imaging Techniques Aged Lymphatic Metastasis Aged, 80 and over Lymph Node Excision Adult Axilla Breast Neoplasms Neoplasm Staging Humans Middle Aged Breast Prospective Studies Prognosis Female Deep Learning Ultrasonography ROC Curve Image Processing, Computer-Assisted Lymph Nodes
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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.
Aged Aged, 80 and over Male Cohort Studies United States Humans Machine Learning Female Patient Acceptance of Health Care Treatment Outcome Medicare Arthroplasty, Replacement, Knee Arthroplasty, Replacement, Hip Preoperative Period
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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.
Male Middle Aged Ultrasonography Magnetic Resonance Imaging Rectal Neoplasms Machine Learning Prospective Studies Female Aged Adult Preoperative Period Extranodal Extension Humans Neural Networks, Computer
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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).
Retrospective Studies Survival Rate Models, Theoretical Pancreatic Neoplasms Predictive Value of Tests Carcinoma, Pancreatic Ductal Preoperative Period Diffusion Magnetic Resonance Imaging Humans Machine Learning
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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 ...
Health Status California Preoperative Period Risk Assessment Postoperative Complications Comorbidity Adolescent Hospital Mortality Machine Learning Electronic Health Records Female Risk Factors Aged Humans Aged, 80 and over Young Adult Adult Male Middle Aged
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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...
Databases, Factual Female Reproducibility of Results Aged Aged, 80 and over Male Comorbidity Deep Learning Length of Stay Cohort Studies Social Class ROC Curve Health Care Costs Humans United States Osteoarthritis, Hip Inpatients Fees and Charges Arthroplasty, Replacement, Hip Preoperative Period
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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).
Preoperative Period Bone and Bones Giant Cell Tumor of Bone Curettage Humans Magnetic Resonance Imaging Neural Networks, Computer Bone Neoplasms Neoplasm Staging Male Neoplasm Recurrence, Local Middle Aged Image Interpretation, Computer-Assisted Algorithms Adolescent Prognosis Logistic Models Female Follow-Up Studies Young Adult Adult
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Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study.

Journal of medical systems Jan 17, 2019
Operating room (OR) utilization is a significant determinant of hospital profitability. One aspect of this is surgical scheduling, which depends on accurate predictions of case duration. This has been done historically by either the surgeon based on ...
Preoperative Period Operating Rooms Body Weights and Measures Humans Algorithms Age Factors Machine Learning Electronic Health Records Operative Time Pilot Projects Appointments and Schedules Time Factors Sex Factors Socioeconomic Factors Efficiency, Organizational
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MRI radiomics analysis of molecular alterations in low-grade gliomas.

International journal of computer assisted radiology and surgery Dec 21, 2017
PURPOSE: Low-grade gliomas (LGG) are classified into three distinct groups based on their IDH1 mutation and 1p/19q codeletion status, each of which is associated with a different clinical expression. The genomic sub-classification of LGG requires tum...
Neurosurgical Procedures Male Cerebral Cortex Middle Aged Preoperative Period Humans Glioma Machine Learning Magnetic Resonance Imaging Female Neoplasm Staging Aged Brain Neoplasms
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