AIMC Topic: Predictive Value of Tests

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Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.

European radiology Nov 30, 2018
OBJECTIVE: To investigate the value of machine learning (ML)-based high-dimensional quantitative texture analysis (qTA) on T2-weighted magnetic resonance imaging (MRI) in predicting response to somatostatin analogues (SA) in acromegaly patients with ...
Middle Aged ROC Curve Predictive Value of Tests Magnetic Resonance Imaging Acromegaly Pituitary Neoplasms Somatostatin Adenoma Humans Machine Learning Algorithms Retrospective Studies Female Reproducibility of Results Young Adult Adult Male
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Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.

PLoS medicine Nov 30, 2018
BACKGROUND: Non-small-cell lung cancer (NSCLC) patients often demonstrate varying clinical courses and outcomes, even within the same tumor stage. This study explores deep learning applications in medical imaging allowing for the automated quantifica...
Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Middle Aged Clinical Decision-Making Predictive Value of Tests Risk Assessment Female Neoplasm Staging Diagnosis, Computer-Assisted Reproducibility of Results Aged Radiographic Image Interpretation, Computer-Assisted Deep Learning Risk Factors Aged, 80 and over Preliminary Data Lung Neoplasms Humans Adult Retrospective Studies Male
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Deep learning and artificial intelligence in radiology: Current applications and future directions.

PLoS medicine Nov 30, 2018
Humans Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Radiology Radiographic Image Interpretation, Computer-Assisted Diffusion of Innovation
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Impact of a Pharmacist-Led Intervention on 30-Day Readmission and Assessment of Factors Predictive of Readmission in African American Men With Heart Failure.

American journal of men's health Nov 28, 2018
Heart failure (HF) is responsible for more 30-day readmissions than any other condition. Minorities, particularly African American males (AAM), are at much higher risk for readmission than the general population. In this study, demographic, social, a...
Male Georgia Middle Aged Pharmacists Risk Assessment Case-Control Studies Incidence Predictive Value of Tests Heart Failure Patient Readmission Prognosis Academic Medical Centers Electronic Health Records Black or African American Humans Hospitalization Machine Learning Aged Adult
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Mobile detection of autism through machine learning on home video: A development and prospective validation study.

PLoS medicine Nov 27, 2018
BACKGROUND: The standard approaches to diagnosing autism spectrum disorder (ASD) evaluate between 20 and 100 behaviors and take several hours to complete. This has in part contributed to long wait times for a diagnosis and subsequent delays in access...
Remote Consultation Early Diagnosis Autistic Disorder Child Behavior Diagnosis, Computer-Assisted Adolescent Time Factors Child, Preschool Child Prospective Studies Adolescent Behavior Female Age Factors Reproducibility of Results Predictive Value of Tests Male Feasibility Studies Infant Video Recording Humans Machine Learning
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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

PLoS medicine Nov 27, 2018
BACKGROUND: Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to diagnostic error and variability. An automated system for interpreting...
Databases, Factual Retrospective Studies Female Reproducibility of Results Young Adult Humans Magnetic Resonance Imaging Predictive Value of Tests Image Interpretation, Computer-Assisted Automation Tibial Meniscus Injuries Adult Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Anterior Cruciate Ligament Injuries Knee
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Machine Learning Algorithms Utilizing Functional Respiratory Imaging May Predict COPD Exacerbations.

Academic radiology Nov 23, 2018
RATIONALE AND OBJECTIVES: Acute chronic obstructive pulmonary disease exacerbations (AECOPD) have a significant negative impact on the quality of life and accelerate progression of the disease. Functional respiratory imaging (FRI) has the potential t...
Middle Aged Female Aged Disease Progression Humans Aged, 80 and over Airway Resistance Support Vector Machine Retrospective Studies Pulmonary Disease, Chronic Obstructive Predictive Value of Tests Functional Residual Capacity Male Tidal Volume
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Rapid Rule Out of Culture-Negative Bloodstream Infections by Use of a Novel Approach to Universal Detection of Bacteria and Fungi.

The journal of applied laboratory medicine Nov 20, 2018
BACKGROUND: Currently it can take up to 5 days to rule out bloodstream infection. With the low yield of blood cultures (approximately 10%), a significant number of patients are potentially exposed to inappropriate therapy that can lead to adverse eve...
Bacterial Proteins Bacteria Fungi Humans Bacteremia Fungemia Fungal Proteins Anti-Infective Agents Blood Culture Antimicrobial Stewardship Time Factors Predictive Value of Tests DNA-Directed DNA Polymerase Real-Time Polymerase Chain Reaction Limit of Detection
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Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.

PLoS medicine Nov 20, 2018
BACKGROUND: Pneumothorax can precipitate a life-threatening emergency due to lung collapse and respiratory or circulatory distress. Pneumothorax is typically detected on chest X-ray; however, treatment is reliant on timely review of radiographs. Sinc...
Radiographic Image Interpretation, Computer-Assisted Automation Radiography, Thoracic Pneumothorax Retrospective Studies Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Humans Databases, Factual Prognosis
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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

PLoS medicine Nov 20, 2018
BACKGROUND: Chest radiograph interpretation is critical for the detection of thoracic diseases, including tuberculosis and lung cancer, which affect millions of people worldwide each year. This time-consuming task typically requires expert radiologis...
Humans Pneumonia Predictive Value of Tests Radiologists Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Retrospective Studies Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Clinical Competence
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