AIMC Topic: Predictive Value of Tests

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A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer.

Cancer medicine Sep 30, 2020
BACKGROUND: Preoperative diagnoses of metastatic lymph nodes (LNs) by the most advanced deep learning technology of Faster Region-based Convolutional Neural Network (Faster R-CNN) have not yet been reported.
Image Interpretation, Computer-Assisted Nomograms Lymphatic Metastasis Risk Factors Middle Aged Decision Support Techniques Aged Magnetic Resonance Imaging Risk Assessment Predictive Value of Tests Prognosis Aged, 80 and over Deep Learning Humans Rectal Neoplasms Female Lymph Nodes Adult Reproducibility of Results Male
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Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches.

BMC medical informatics and decision making Sep 29, 2020
BACKGROUND: Differentiating between ulcerative colitis (UC), Crohn's disease (CD) and intestinal tuberculosis (ITB) using endoscopy is challenging. We aimed to realize automatic differential diagnosis among these diseases through machine learning alg...
Predictive Value of Tests Natural Language Processing Tuberculosis, Gastrointestinal Inflammatory Bowel Diseases China India Models, Theoretical Diagnosis, Differential Humans Neural Networks, Computer Artificial Intelligence
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Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 28, 2020
BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically meaningful because some known-predictors, such as stroke severity and patients age cannot be modified with rehabilitative treatment. There are limited cli...
Stroke Activities of Daily Living Stroke Rehabilitation Mobility Limitation Humans Clinical Decision Rules Machine Learning Databases, Factual Treatment Outcome Female Inpatients Reproducibility of Results Decision Trees Aged, 80 and over Risk Factors Recovery of Function Male Aged Predictive Value of Tests Middle Aged Risk Assessment
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Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma.

Virchows Archiv : an international journal of pathology Sep 26, 2020
In patients with suspected lymphoma, the tissue biopsy provides lymphoma confirmation, classification, and prognostic factors, including genetic changes. We developed a deep learning algorithm to detect MYC rearrangement in scanned histological slide...
Predictive Value of Tests Microscopy In Situ Hybridization, Fluorescence Image Interpretation, Computer-Assisted Immunohistochemistry Lymphoma, Large B-Cell, Diffuse Deep Learning Genetic Predisposition to Disease Staining and Labeling Proof of Concept Study Antigens, CD20 Proto-Oncogene Proteins c-myc Translocation, Genetic Humans Phenotype Reproducibility of Results Biomarkers, Tumor
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Deep Learning-Based Approach for the Diagnosis of Moyamoya Disease.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 25, 2020
OBJECTIVES: Moyamoya disease is a unique cerebrovascular disorder that is characterized by chronic bilateral stenosis of the internal carotid arteries and by the formation of an abnormal vascular network called moyamoya vessels. In this stury, the au...
Humans Retrospective Studies Female Reproducibility of Results Young Adult Adult Moyamoya Disease Intracranial Arteriosclerosis Male Adolescent Middle Aged Magnetic Resonance Imaging Diagnosis, Computer-Assisted Diagnosis, Differential Deep Learning Predictive Value of Tests Image Interpretation, Computer-Assisted
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Primary Prevention Trial Designs Using Coronary Imaging: A National Heart, Lung, and Blood Institute Workshop.

JACC. Cardiovascular imaging Sep 16, 2020
Coronary artery calcium (CAC) is considered a useful test for enhancing risk assessment in the primary prevention setting. Clinical trials are under consideration. The National Heart, Lung, and Blood Institute convened a multidisciplinary working gro...
Humans Artificial Intelligence Aged United States Predictive Value of Tests Maryland Primary Prevention National Heart, Lung, and Blood Institute (U.S.)
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Machine Learning-Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma.

AJR. American journal of roentgenology Sep 15, 2020
This study aimed to explore the performance of machine learning (ML)-based MRI texture analysis in discriminating between well-differentiated (WD) oral squamous cell carcinoma (OSCC) and moderately or poorly differentiated OSCC. The study enrolled ...
Young Adult Machine Learning Adult Male Retrospective Studies Humans Middle Aged Female Magnetic Resonance Imaging Carcinoma, Squamous Cell Diagnosis, Differential Aged Predictive Value of Tests Neoplasm Grading Mouth Neoplasms
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Optical Mapping-Validated Machine Learning Improves Atrial Fibrillation Driver Detection by Multi-Electrode Mapping.

Circulation. Arrhythmia and electrophysiology Sep 13, 2020
BACKGROUND: Atrial fibrillation (AF) can be maintained by localized intramural reentrant drivers. However, AF driver detection by clinical surface-only multielectrode mapping (MEM) has relied on subjective interpretation of activation maps. We hypoth...
Humans Machine Learning Reproducibility of Results Atrial Fibrillation Heart Rate Fourier Analysis Electrophysiologic Techniques, Cardiac Spectroscopy, Near-Infrared Voltage-Sensitive Dye Imaging Time Factors Action Potentials Predictive Value of Tests
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Supervised classification techniques for prediction of mortality in adult patients with sepsis.

The American journal of emergency medicine Sep 12, 2020
BACKGROUND: Sepsis mortality is still unacceptably high and an appropriate prognostic tool may increase the accuracy for clinical decisions.
Sepsis Hospital Mortality Decision Making Predictive Value of Tests Female Humans Emergency Service, Hospital Aged Hospitals, University Artificial Intelligence Male Colombia Prospective Studies Middle Aged Organ Dysfunction Scores Prognosis
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Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports.

Acta oncologica (Stockholm, Sweden) Sep 12, 2020
BACKGROUND: The widespread use of electronic patient-generated health data has led to unprecedented opportunities for automated extraction of clinical features from free-text medical notes. However, processing this rich resource of data for clinical ...
Natural Language Processing Radionuclide Imaging Humans Algorithms Cohort Studies Predictive Value of Tests
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