AIMC Topic: Predictive Value of Tests

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Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography.

JACC. Cardiovascular imaging Jun 16, 2021
OBJECTIVES: This study sought to examine if fully automated measurements of global longitudinal strain (GLS) using a novel motion estimation technology based on deep learning and artificial intelligence (AI) are feasible and comparable with a convent...
Echocardiography Humans Predictive Value of Tests Artificial Intelligence Heart Ventricles Reproducibility of Results Ventricular Function, Left
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Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity.

American journal of physiology. Regulatory, integrative and comparative physiology Jun 16, 2021
An objective measure of pain remains an unmet need of people with chronic pain, estimated to be 1/3 of the adult population in the United States. The current gold standard to quantify pain is highly subjective, based upon self-reporting with numerica...
Male Severity of Illness Index Predictive Value of Tests Pain Measurement Signal Processing, Computer-Assisted Skin Feasibility Studies Pain Hot Temperature Machine Learning Female Reproducibility of Results Pain Perception Young Adult Sympathetic Nervous System Adult Humans Pain Threshold Galvanic Skin Response Electrodiagnosis
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Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer.

Cancer research and treatment Jun 15, 2021
PURPOSE: Machine learning (ML) is a strong candidate for making accurate predictions, as we can use large amount of data with powerful computational algorithms. We developed a ML based model to predict survival of patients with colorectal cancer (CRC...
ROC Curve Predictive Value of Tests Humans Machine Learning Survival Rate Colorectal Neoplasms
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Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review.

Acta orthopaedica Jun 10, 2021
Background and purpose - Advancements in software and hardware have enabled the rise of clinical prediction models based on machine learning (ML) in orthopedic surgery. Given their growing popularity and their likely implementation in clinical practi...
Humans Neural Networks, Computer Machine Learning Clinical Decision-Making Predictive Value of Tests Orthopedic Procedures
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Comparison of British Thyroid Association, American College of Radiology TIRADS and Artificial Intelligence TIRADS with histological correlation: diagnostic performance for predicting thyroid malignancy and unnecessary fine needle aspiration rate.

The British journal of radiology Jun 9, 2021
OBJECTIVES: To compare diagnostic performance of British Thyroid Association (BTA), American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) and Artificial Intelligence TIRADS (AI-TIRADS) for thyroid nodule malignancy. To ...
Aged Aged, 80 and over Adult Sensitivity and Specificity Male Humans Artificial Intelligence Retrospective Studies Female Predictive Value of Tests Neoplasm Grading Practice Guidelines as Topic Biopsy, Fine-Needle Unnecessary Procedures Middle Aged Adolescent Thyroidectomy Thyroid Neoplasms Ultrasonography
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Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Jun 8, 2021
The accurate identification of irreversible infarction and salvageable tissue is important in planning the treatments for acute ischemic stroke (AIS) patients. Computed tomographic perfusion (CTP) can be used to evaluate the ischemic core and deficit...
Female Aged Male Middle Aged Deep Learning Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Computed Tomography Angiography Cerebral Angiography Emergency Medicine Predictive Value of Tests Ischemic Stroke Brain Ischemia Cerebrovascular Circulation Perfusion Imaging
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A Pilot Study on Automatic Three-Dimensional Quantification of Barrett's Esophagus for Risk Stratification and Therapy Monitoring.

Gastroenterology Jun 8, 2021
BACKGROUND & AIMS: Barrett's epithelium measurement using widely accepted Prague C&M classification is highly operator dependent. We propose a novel methodology for measuring this risk score automatically. The method also enables quantification of th...
Esophagogastric Junction Esophagoscopy Esophageal Mucosa Treatment Outcome Humans Severity of Illness Index Predictive Value of Tests Female Deep Learning Image Interpretation, Computer-Assisted Reproducibility of Results Pilot Projects Barrett Esophagus Imaging, Three-Dimensional Risk Factors Automation Aged Male Risk Assessment Disease Progression
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Predicting anxiety in cancer survivors presenting to primary care - A machine learning approach accounting for physical comorbidity.

Cancer medicine Jun 2, 2021
BACKGROUND: The purpose of this study was to explore predictors for anxiety as the most common form of psychological distress in cancer survivors while accounting for physical comorbidity.
Humans Female Predictive Value of Tests Prostatic Neoplasms Colonic Neoplasms Supervised Machine Learning Sleep Initiation and Maintenance Disorders Anxiety Aged Fatigue Comorbidity Breast Neoplasms Cancer Pain Stress, Psychological Male Cancer Survivors Primary Health Care Middle Aged Muscle Weakness Regression Analysis
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A Preliminary Study of Deep-Learning Algorithm for Analyzing Multiplex Immunofluorescence Biomarkers in Body Fluid Cytology Specimens.

Acta cytologica Jun 2, 2021
INTRODUCTION: Multiplex biomarker analysis of cytological body fluid specimens is often used to assist cytologists in distiguishing metastatic cancer cells from reactive mesothelial cells. However, evaluating biomarker expression visually may be chal...
Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Adenocarcinoma Diagnosis, Differential Fluorescent Antibody Technique Humans Retrospective Studies Predictive Value of Tests Reproducibility of Results Microscopy, Fluorescence Biomarkers, Tumor Feasibility Studies Cytodiagnosis Pleural Effusion, Malignant
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Blood Biomarkers Predict Cardiac Workload Using Machine Learning.

BioMed research international Jun 1, 2021
INTRODUCTION: Rate pressure product (the product of heart rate and systolic blood pressure) is a measure of cardiac workload. Resting rate pressure product (rRPP) varies from one individual to the next, but its biochemical/cellular phenotype remains ...
China Neutrophils Predictive Value of Tests Blood Pressure Humans Heart Biomarkers Machine Learning Heart Rate Female Algorithms Linear Models Adult Phenotype Systole Male Cardiovascular System Middle Aged
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