AIMC Topic: Sensitivity and Specificity

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Cleaning Up the MESS: Can Machine Learning Be Used to Predict Lower Extremity Amputation after Trauma-Associated Arterial Injury?

Journal of the American College of Surgeons Oct 3, 2020
BACKGROUND: Thirty years after the Mangled Extremity Severity Score was developed, advances in vascular, trauma, and orthopaedic surgery have rendered the sensitivity of this score obsolete. A significant number of patients receive amputation during ...
Humans Machine Learning Algorithms Female Logistic Models Leg Leg Injuries Arteries Amputation, Surgical Reproducibility of Results Adult Sensitivity and Specificity Male Decision Support Systems, Clinical
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Bruise dating using deep learning.

Journal of forensic sciences Sep 29, 2020
The bruise dating can have important medicolegal implications in family violence and violence against women cases. However, studies show that the medical specialist has 50% accuracy in classifying a bruise by age, mainly due to the variability of the...
Photography Contusions Deep Learning Time Factors Humans Image Processing, Computer-Assisted Young Adult Neural Networks, Computer Forensic Medicine Adult Female Datasets as Topic Sensitivity and Specificity Aged Male
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Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network.

Radiology Sep 29, 2020
Background Large vessel occlusion (LVO) stroke is one of the most time-sensitive diagnoses in medicine and requires emergent endovascular therapy to reduce morbidity and mortality. Leveraging recent advances in deep learning may facilitate rapid dete...
Humans Neural Networks, Computer Retrospective Studies Female Aged Sensitivity and Specificity Male Middle Aged Contrast Media Stroke Cerebral Angiography Brain Ischemia Computed Tomography Angiography
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Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.

BMC medical informatics and decision making Sep 29, 2020
BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.
Sensitivity and Specificity Male Influenza A virus Diagnosis, Differential Influenza, Human Pneumonia, Viral Coronavirus Infections Humans COVID-19 Testing Machine Learning Datasets as Topic Pandemics Clinical Laboratory Techniques COVID-19 Betacoronavirus Computer Simulation Female SARS-CoV-2
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Machine Learning-Based Differentiation of Nontuberculous Mycobacteria Lung Disease and Pulmonary Tuberculosis Using CT Images.

BioMed research international Sep 29, 2020
An increasing number of patients infected with nontuberculous mycobacteria (NTM) are observed worldwide. However, it is challenging to identify NTM lung diseases from pulmonary tuberculosis (PTB) due to considerable overlap in classic manifestations ...
Lung Tuberculosis, Pulmonary Mycobacterium Infections, Nontuberculous Image Interpretation, Computer-Assisted Bronchiectasis Nontuberculous Mycobacteria Aged Adult Humans Sensitivity and Specificity Machine Learning Male Tomography, X-Ray Computed Middle Aged Female
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THEIA™ development, and testing of artificial intelligence-based primary triage of diabetic retinopathy screening images in New Zealand.

Diabetic medicine : a journal of the British Diabetic Association Sep 27, 2020
AIM: To develop and evaluate an artificial intelligence triage system with high sensitivity for detecting referable diabetic retinopathy and maculopathy, while maintaining high specificity for non-referable disease, for clinical implementation within...
Implementation Science Aged, 80 and over Young Adult Mass Screening Adult Triage Sensitivity and Specificity New Zealand Male Retina Artificial Intelligence Middle Aged Algorithms Adolescent Humans Retrospective Studies Child Diabetic Retinopathy Female Image Processing, Computer-Assisted Aged Diabetes Mellitus
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Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence.

Radiology Sep 24, 2020
Background Radiologists are proficient in differentiating between chest radiographs with and without symptoms of pneumonia but have found it more challenging to differentiate coronavirus disease 2019 (COVID-19) pneumonia from non-COVID-19 pneumonia o...
Adolescent Female Radiographic Image Interpretation, Computer-Assisted SARS-CoV-2 Radiography, Thoracic Adult Aged Humans Sensitivity and Specificity Aged, 80 and over Artificial Intelligence Male Young Adult COVID-19 Middle Aged Retrospective Studies Lung
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Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population.

Radiology Sep 22, 2020
Background The performance of a deep learning algorithm for lung cancer detection on chest radiographs in a health screening population is unknown. Purpose To validate a commercially available deep learning algorithm for lung cancer detection on ches...
Middle Aged Deep Learning Lung Neoplasms Mass Screening Radiography, Thoracic Retrospective Studies Republic of Korea Female Sensitivity and Specificity Humans Male
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The utility of a deep learning-based algorithm for bone scintigraphy in patient with prostate cancer.

Annals of nuclear medicine Sep 21, 2020
OBJECTIVE: Bone scintigraphy has often been used to evaluate bone metastases. Its functionality is evident in detecting bone metastasis in patients with malignant tumor including prostate cancer, as appropriate treatment and prognosis are dependent o...
Radionuclide Imaging Whole Body Imaging Deep Learning Image Processing, Computer-Assisted Prostatic Neoplasms Bone and Bones Humans Aged Sensitivity and Specificity Male Middle Aged
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Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion.

Stroke Sep 18, 2020
BACKGROUND AND PURPOSE: Clinical methods have incomplete diagnostic value for early diagnosis of acute stroke and large vessel occlusion (LVO). Electroencephalography is rapidly sensitive to brain ischemia. This study examined the diagnostic utility ...
Humans Neural Networks, Computer Female Deep Learning Logistic Models Ischemic Stroke Electroencephalography Stroke Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Ischemic Attack, Transient Hemorrhagic Stroke
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