AIMC Topic: ROC Curve

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Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.

PloS one Feb 19, 2021
PURPOSE: This study evaluated the performance of a commercially available deep-learning algorithm (DLA) (Insight CXR, Lunit, Seoul, South Korea) for referable thoracic abnormalities on chest X-ray (CXR) using a consecutively collected multicenter hea...
Multicenter Studies as Topic Radiography, Thoracic Adult Male Middle Aged Humans Deep Learning ROC Curve Algorithms Retrospective Studies Female Aged
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Early risk assessment for COVID-19 patients from emergency department data using machine learning.

Scientific reports Feb 18, 2021
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical character...
United Kingdom London Disease Progression Machine Learning Hospitals Pandemics Hospital Mortality COVID-19 ROC Curve Retrospective Studies Emergency Service, Hospital Adult SARS-CoV-2 Female Humans Male Risk Factors Middle Aged Hospitalization Risk Assessment Aged Respiration, Artificial Aged, 80 and over
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A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography.

Scientific reports Feb 16, 2021
Since its first outbreak, Coronavirus Disease 2019 (COVID-19) has been rapidly spreading worldwide and caused a global pandemic. Rapid and early detection is essential to contain COVID-19. Here, we first developed a deep learning (DL) integrated radi...
Tomography, X-Ray Computed Female SARS-CoV-2 Humans Adult Middle Aged Male COVID-19 Deep Learning Algorithms ROC Curve Radiologists Models, Biological
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A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs.

Nature communications Feb 16, 2021
Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in trauma patients, which is also the key component for trauma survey. None of the currently available algorithms can accurately detect all kinds of trauma-related ...
Pelvis Hip Fractures Wounds and Injuries Adult Male Middle Aged Humans Deep Learning Algorithms ROC Curve Physicians Female Aged
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Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models.

BMC medical imaging Feb 16, 2021
BACKGROUND: To validate and compare various MRI-based radiomics models to evaluate treatment response to neoadjuvant chemoradiotherapy (nCRT) of rectal cancer.
Rectal Neoplasms Humans Image Interpretation, Computer-Assisted Machine Learning Chemoradiotherapy, Adjuvant Neoadjuvant Therapy Algorithms Female Magnetic Resonance Imaging Male Models, Statistical Middle Aged Rectum ROC Curve Radiographic Image Interpretation, Computer-Assisted
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Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints.

Acta orthopaedica Feb 12, 2021
Background and purpose - Machine learning (ML) techniques are a form of artificial intelligence able to analyze big data. Analyzing the outcome of (digital) questionnaires, ML might recognize different patterns in answers that might relate to differe...
Medical History Taking Osteoarthritis, Hip Bursitis Female Aged Male Middle Aged Surveys and Questionnaires ROC Curve Diagnosis, Differential Predictive Value of Tests Emergency Medical Services Tendinopathy Humans Machine Learning
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A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer's Disease Early Discovery.

Sensors (Basel, Switzerland) Feb 11, 2021
Alzheimer's disease is the most prevalent dementia among the elderly population. Early detection is critical because it can help with future planning for those potentially affected. This paper uses a three-dimensional DenseNet architecture to detect ...
Humans ROC Curve Magnetic Resonance Imaging Neural Networks, Computer Alzheimer Disease Female Early Diagnosis Reproducibility of Results Aged Aged, 80 and over Male Middle Aged
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A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation.

Journal of medical Internet research Feb 10, 2021
BACKGROUND: Predicting early respiratory failure due to COVID-19 can help triage patients to higher levels of care, allocate scarce resources, and reduce morbidity and mortality by appropriately monitoring and treating the patients at greatest risk f...
Hospitalization Aged Male Middle Aged Respiration, Artificial Machine Learning COVID-19 Retrospective Studies Female SARS-CoV-2 Respiratory Insufficiency Patient Admission Intubation, Intratracheal Early Warning Score Clinical Decision Rules Hospitals ROC Curve Logistic Models Triage Emergency Service, Hospital Humans
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Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort.

Interdisciplinary sciences, computational life sciences Feb 9, 2021
Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in a large number of causalities and medical resources insufficiency in many countries. Reverse-transcriptase polymerase chain reaction (RT-PCR) testing is adopted as biops...
Tomography, X-Ray Computed Female Infant, Newborn Reproducibility of Results SARS-CoV-2 Humans COVID-19 Middle Aged Infant Deep Learning Adolescent Cohort Studies Aged Aged, 80 and over Young Adult Adult Male Child, Preschool Child ROC Curve Thorax Data Compression
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Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality.

Nature biomedical engineering Feb 8, 2021
Machine learning promises to assist physicians with predictions of mortality and of other future clinical events by learning complex patterns from historical data, such as longitudinal electronic health records. Here we show that a convolutional neur...
Humans Aged Databases, Factual Male Retrospective Studies Electronic Health Records Echocardiography Female Middle Aged Deep Learning ROC Curve Heart Failure Survival Analysis Image Interpretation, Computer-Assisted
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