AI Medical Compendium Topic:
Cohort Studies

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Radiographic Indices Are Not Predictive of Clinical Outcomes Among 1735 Patients Indicated for Hip Arthroscopic Surgery: A Machine Learning Analysis.

The American journal of sports medicine Sep 14, 2020
BACKGROUND: The relationship between the preoperative radiographic indices for femoroacetabular impingement syndrome (FAIS) and postoperative patient-reported outcome measure (PROM) scores continues to be under investigation, with inconsistent findin...
Femoracetabular Impingement Patient Reported Outcome Measures Arthroscopy Hip Joint Minimal Clinically Important Difference Humans Machine Learning Cohort Studies Treatment Outcome Activities of Daily Living
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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 ...
Cohort Studies Predictive Value of Tests Natural Language Processing Radionuclide Imaging Humans Algorithms
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Genomic risk scores for juvenile idiopathic arthritis and its subtypes.

Annals of the rheumatic diseases Sep 4, 2020
OBJECTIVES: Juvenile idiopathic arthritis (JIA) is an autoimmune disease and a common cause of chronic disability in children. Diagnosis of JIA is based purely on clinical symptoms, which can be variable, leading to diagnosis and treatment delays. De...
Humans Machine Learning Female Risk Factors Genetic Predisposition to Disease Polymorphism, Single Nucleotide Arthritis, Juvenile Male Adolescent Cohort Studies Child
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High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Sep 3, 2020
Phosphatase and tensin homolog (PTEN) loss is associated with adverse outcomes in prostate cancer and has clinical potential as a prognostic biomarker. The objective of this work was to develop an artificial intelligence (AI) system for automated det...
Tissue Array Analysis PTEN Phosphohydrolase Cohort Studies Image Processing, Computer-Assisted Prostatic Neoplasms High-Throughput Nucleotide Sequencing Humans Algorithms Biomarkers, Tumor Male Deep Learning
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Prediction Power on Cardiovascular Disease of Neuroimmune Guidance Cues Expression by Peripheral Blood Monocytes Determined by Machine-Learning Methods.

International journal of molecular sciences Sep 2, 2020
Atherosclerosis is the underlying pathology in a major part of cardiovascular disease, the leading cause of mortality in developed countries. The infiltration of monocytes into the vessel walls of large arteries is a key denominator of atherogenesis,...
Humans Machine Learning Monocytes Ephrins Cardiovascular Diseases Netrin-1 Middle Aged Semaphorins Transcriptome Case-Control Studies Biomarkers Cohort Studies Female Adult Male
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Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer.

Scientific reports Sep 1, 2020
Algorithms can improve the objectivity and efficiency of histopathologic slide analysis. In this paper, we investigated the impact of scanning systems (scanners) and cycle-GAN-based normalization on algorithm performance, by comparing different deep ...
Humans Male Deep Learning Area Under Curve Color Prostatic Neoplasms Prostate Biopsy Cohort Studies ROC Curve Image Processing, Computer-Assisted Staining and Labeling Computational Biology
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A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer.

BMC cancer Aug 28, 2020
BACKGROUND: Cell-free DNA's (cfDNA) use as a biomarker in cancer is challenging due to genetic heterogeneity of malignancies and rarity of tumor-derived molecules. Here we describe and demonstrate a novel machine-learning guided panel design strategy...
Sequence Analysis, DNA Prostatic Neoplasms Mutation Adult Humans Whole Genome Sequencing Base Sequence Machine Learning Genome, Human Biomarkers, Tumor Aged Circulating Tumor DNA Male Aged, 80 and over Middle Aged Cohort Studies
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Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning.

Journal of cancer research and clinical oncology Aug 27, 2020
PURPOSE: Microvascular invasion (MVI) is a valuable predictor of survival in hepatocellular carcinoma (HCC) patients. This study developed predictive models using eXtreme Gradient Boosting (XGBoost) and deep learning based on CT images to predict MVI...
Cohort Studies Liver Neoplasms Carcinoma, Hepatocellular Models, Statistical Disease-Free Survival Female Humans Male Middle Aged Retrospective Studies Deep Learning Neovascularization, Pathologic Microcirculation
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Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

IEEE journal of biomedical and health informatics Aug 20, 2020
Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide since first reported. Timely diagnosis of COVID-19 is crucial both for disease control and patient care. Non-contrast thoracic computed tomography (CT) has been identified as an effecti...
Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Computational Biology Radiographic Image Interpretation, Computer-Assisted Pandemics Supervised Machine Learning Coronavirus Infections COVID-19 COVID-19 Testing Algorithms SARS-CoV-2 Retrospective Studies Diagnostic Errors Tomography, X-Ray Computed Deep Learning Cohort Studies Humans Neural Networks, Computer
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Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.

The European respiratory journal Aug 20, 2020
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality.
Belgium Clinical Laboratory Techniques Pneumonia, Viral COVID-19 Testing Sex Factors Survival Analysis Internationality Cohort Studies Hospital Mortality Humans ROC Curve Machine Learning Decision Support Systems, Clinical Pandemics Age Factors COVID-19 Male Predictive Value of Tests Retrospective Studies Reproducibility of Results Middle Aged Triage Female Hospitalization Risk Assessment Area Under Curve Aged Severity of Illness Index Italy Adult China Coronavirus Infections
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