AIMC Topic: Sensitivity and Specificity

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An automatic fresh rib fracture detection and positioning system using deep learning.

The British journal of radiology Apr 17, 2023
OBJECTIVE: To evaluate the performance and robustness of a deep learning-based automatic fresh rib fracture detection and positioning system (FRF-DPS).
Humans Ribs Sensitivity and Specificity Deep Learning Rib Fractures Retrospective Studies
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The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma.

BMC medical imaging Apr 13, 2023
BACKGROUND: To evaluate the value of a deep learning-based computer-aided diagnostic system (DL-CAD) in improving the diagnostic performance of acute rib fractures in patients with chest trauma.
Deep Learning Thoracic Injuries Retrospective Studies Tomography, X-Ray Computed Sensitivity and Specificity Computers Wounds, Nonpenetrating Humans Rib Fractures
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Artificial intelligence to estimate the tear film breakup time and diagnose dry eye disease.

Scientific reports Apr 10, 2023
The use of artificial intelligence (AI) in the diagnosis of dry eye disease (DED) remains limited due to the lack of standardized image formats and analysis models. To overcome these issues, we used the Smart Eye Camera (SEC), a video-recordable slit...
Sensitivity and Specificity Tears Dry Eye Syndromes Artificial Intelligence Retrospective Studies Humans
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Deep learning for detection of age-related macular degeneration: A systematic review and meta-analysis of diagnostic test accuracy studies.

PloS one Apr 6, 2023
OBJECTIVE: To evaluate the diagnostic accuracy of deep learning algorithms to identify age-related macular degeneration and to explore factors impacting the results for future model training.
Deep Learning Algorithms Macular Degeneration Humans Sensitivity and Specificity Diagnostic Tests, Routine Neural Networks, Computer
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Fully-automated detection of small bowel carcinoid tumors in CT scans using deep learning.

Medical physics Apr 5, 2023
BACKGROUND: Small bowel carcinoid tumor is a rare neoplasm and increasing in incidence. Patients with small bowel carcinoid tumors often experience long delays in diagnosis due to the vague symptoms, slow growth of tumors, and lack of clinician aware...
Carcinoid Tumor Deep Learning Intestinal Neoplasms Humans Tomography, X-Ray Computed Sensitivity and Specificity
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A systematic review and repeatability study on the use of deep learning for classifying and detecting tuberculosis bacilli in microscopic images.

Progress in biophysics and molecular biology Apr 5, 2023
Tuberculosis (TB) is among the leading causes of death worldwide from a single infectious agent. This disease usually affects the lungs (pulmonary TB) and can be cured in most cases with a quick diagnosis and proper treatment. Microscopic sputum smea...
Deep Learning Tuberculosis Reproducibility of Results Sensitivity and Specificity Tuberculosis, Pulmonary Mycobacterium tuberculosis Humans
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MRI-Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning.

Journal of magnetic resonance imaging : JMRI Apr 4, 2023
BACKGROUND: Deep learning (DL) have been reported feasible in breast MRI. However, the effectiveness of DL method in mpMRI combinations for breast cancer detection has not been well investigated.
Humans Retrospective Studies Breast Neoplasms Magnetic Resonance Imaging Deep Learning Female Sensitivity and Specificity
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Performance analysis of pretrained convolutional neural network models for ophthalmological disease classification.

Arquivos brasileiros de oftalmologia Apr 3, 2023
PURPOSE: This study aimed to evaluate the classification performance of pretrained convolutional neural network models or architectures using fundus image dataset containing eight disease labels.
Databases, Factual Reproducibility of Results Diabetic Retinopathy Neural Networks, Computer Humans Sensitivity and Specificity Macular Degeneration Fundus Oculi Eye Diseases
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Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood.

BMC medical informatics and decision making Mar 29, 2023
BACKGROUND AND OBJECTIVE: Morphological identification of peripheral leukocytes is a complex and time-consuming task, having especially high requirements for personnel expertise. This study is to investigate the role of artificial intelligence (AI) i...
Humans Artificial Intelligence Sensitivity and Specificity Cell Differentiation Leukocytes
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The value of artificial intelligence in the diagnosis of lung cancer: A systematic review and meta-analysis.

PloS one Mar 23, 2023
Lung cancer is a common malignant tumor disease with high clinical disability and death rates. Currently, lung cancer diagnosis mainly relies on manual pathology section analysis, but the low efficiency and subjective nature of manual film reading ca...
Sensitivity and Specificity Lung Neoplasms Humans Artificial Intelligence
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