AIMC Topic: Sensitivity and Specificity
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A photonic crystal fiber-based fluorescence sensor for simultaneous and sensitive detection of lactic acid enantiomers.
Analytical and bioanalytical chemistry
Jan 13, 2022
A photonic crystal fiber (PCF)-based fluorescence sensor is developed for rapid and sensitive detection of lactic acid (LA) enantiomers in serum samples. The sensor is fabricated by chemical binding dual enzymes on the inner surface of the PCF with n...
Artificially Intelligent Interpretation of Stress Echocardiography: The Future Is Now.
JACC. Cardiovascular imaging
Jan 12, 2022
Machine learning algorithms as new screening approach for patients with endometriosis.
Scientific reports
Jan 12, 2022
Endometriosis-a systemic and chronic condition occurring in women of childbearing age-is a highly enigmatic disease with unresolved questions. While multiple biomarkers, genomic analysis, questionnaires, and imaging techniques have been advocated as ...
Deep Learning Approach for Automatic Microaneurysms Detection.
Sensors (Basel, Switzerland)
Jan 11, 2022
In diabetic retinopathy (DR), the early signs that may lead the eyesight towards complete vision loss are considered as microaneurysms (MAs). The shape of these MAs is almost circular, and they have a darkish color and are tiny in size, which means t...
Clinical impact of a deep learning system for automated detection of missed pulmonary nodules on routine body computed tomography including the chest region.
European radiology
Jan 9, 2022
OBJECTIVES: To evaluate the clinical impact of a deep learning system (DLS) for automated detection of pulmonary nodules on computed tomography (CT) images as a second reader.
Dynamic training of a novelty classifier algorithm for real-time detection of early seizure onset.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Jan 6, 2022
OBJECTIVE: To develop an adaptive framework for seizure detection in real-time that is practical to use in the Epilepsy Monitoring Unit (EMU) as a warning signal, and whose output helps characterize epileptiform activity.
Deep Learning-Assisted Diagnosis of Pediatric Skull Fractures on Plain Radiographs.
Korean journal of radiology
Jan 4, 2022
OBJECTIVE: To develop and evaluate a deep learning-based artificial intelligence (AI) model for detecting skull fractures on plain radiographs in children.
Breast Tumor Detection and Classification in Mammogram Images Using Modified YOLOv5 Network.
Computational and mathematical methods in medicine
Jan 4, 2022
Breast cancer incidence has been rising steadily during the past few decades. It is the second leading cause of death in women. If it is diagnosed early, there is a good possibility of recovery. Mammography is proven to be an excellent screening tech...
Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study.
European radiology
Jan 1, 2022
OBJECTIVES: We aim ed to evaluate a commercial artificial intelligence (AI) solution on a multicenter cohort of chest radiographs and to compare physicians' ability to detect and localize referable thoracic abnormalities with and without AI assistanc...
Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.
International journal of medical informatics
Dec 28, 2021
PURPOSE: To develop and evaluate the colposcopy based deep learning model using all kinds of cervical images for cervical screening, and investigate the synergetic benefits of the colposcopy, the cytology test, and the HPV test for improving cervical...
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