AIMC Topic: Sensitivity and Specificity

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Deep learning on fundus images detects glaucoma beyond the optic disc.

Scientific reports Oct 13, 2021
Although unprecedented sensitivity and specificity values are reported, recent glaucoma detection deep learning models lack in decision transparency. Here, we propose a methodology that advances explainable deep learning in the field of glaucoma dete...
Deep Learning Regression Analysis Area Under Curve Fundus Oculi Retina Optic Disk Optic Nerve Diseases Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Humans Glaucoma Female Aged
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COVID-19 Diagnosis from CT Images with Convolutional Neural Network Optimized by Marine Predator Optimization Algorithm.

BioMed research international Oct 12, 2021
In recent years, almost every country in the world has struggled against the spread of Coronavirus Disease 2019. If governments and public health systems do not take action against the spread of the disease, it will have a severe impact on human life...
SARS-CoV-2 Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Models, Theoretical COVID-19 Testing Data Accuracy Humans Neural Networks, Computer Research Design COVID-19 Databases, Factual Algorithms Tomography, X-Ray Computed Reproducibility of Results
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Artificial intelligence for detecting superficial esophageal squamous cell carcinoma under multiple endoscopic imaging modalities: A multicenter study.

Journal of gastroenterology and hepatology Oct 4, 2021
BACKGROUND AND AIM: Diagnosis of esophageal squamous cell carcinoma (ESCC) is complicated and requires substantial expertise and experience. This study aimed to develop an artificial intelligence (AI) system for detecting superficial ESCC under multi...
Artificial Intelligence Retrospective Studies Sensitivity and Specificity Humans Esophageal Neoplasms Esophageal Squamous Cell Carcinoma
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Deep convolutional neural network-based algorithm for muscle biopsy diagnosis.

Laboratory investigation; a journal of technical methods and pathology Oct 2, 2021
Histopathologic evaluation of muscle biopsy samples is essential for classifying and diagnosing muscle diseases. However, the numbers of experienced specialists and pathologists are limited. Although new technologies such as artificial intelligence a...
Animals Deep Learning Diagnosis, Differential Biopsy Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity Humans Myositis Muscles Muscular Diseases
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Diagnostic test accuracy of artificial intelligence analysis of cross-sectional imaging in pulmonary hypertension: a systematic literature review.

The British journal of radiology Sep 29, 2021
OBJECTIVES: To undertake the first systematic review examining the performance of artificial intelligence (AI) applied to cross-sectional imaging for the diagnosis of acquired pulmonary arterial hypertension (PAH).
Sensitivity and Specificity Lung Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Hypertension, Pulmonary Humans Artificial Intelligence Tomography, X-Ray Computed Reproducibility of Results
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Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial.

Radiology Sep 28, 2021
Background Previous studies suggest that use of artificial intelligence (AI) algorithms as diagnostic aids may improve the quality of skeletal age assessment, though these studies lack evidence from clinical practice. Purpose To compare the accuracy ...
Humans Artificial Intelligence Prospective Studies Female Reproducibility of Results Adult Child, Preschool Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Child Male Infant Age Determination by Skeleton Radiography Adolescent Radiologists
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Novel Computer-Aided Diagnosis Software for the Prevention of Retained Surgical Items.

Journal of the American College of Surgeons Sep 27, 2021
BACKGROUND: Retained surgical items are a serious human error. Surgical sponges account for 70% of retained surgical items. To prevent retained surgical sponges, it is important to establish a system that can identify errors and avoid the occurrence ...
Foreign Bodies Surgical Sponges Humans Cadaver Software Postoperative Period Phantoms, Imaging Torso Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Radiography
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Identifying individuals with recent COVID-19 through voice classification using deep learning.

Scientific reports Sep 27, 2021
Recently deep learning has attained a breakthrough in model accuracy for the classification of images due mainly to convolutional neural networks. In the present study, we attempted to investigate the presence of subclinical voice feature alteration ...
Voice Disorders Cough Sound Multivariate Analysis Voice Humans Sensitivity and Specificity Neural Networks, Computer Male Female Deep Learning SARS-CoV-2 COVID-19 Logistic Models Adult Prospective Studies
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Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.

BMC cancer Sep 26, 2021
BACKGROUND: Artificial intelligence (AI) is increasingly being used in medical imaging analysis. We aimed to evaluate the diagnostic accuracy of AI models used for detection of lymph node metastasis on pre-operative staging imaging for colorectal can...
Radiologists Rectal Neoplasms Preoperative Care Publication Bias Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Bias Humans Artificial Intelligence Tomography, X-Ray Computed Sensitivity and Specificity Colorectal Neoplasms Deep Learning ROC Curve
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Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.

PloS one Sep 22, 2021
Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expectancy, along with new diagnostic tools and treatments for skin cancer, has resulted in unprecedented changes in patient care and has generated a great...
Dermoscopy Adult Sensitivity and Specificity Area Under Curve Male Humans Artificial Intelligence Diagnosis, Computer-Assisted Physicians, Primary Care Surveys and Questionnaires Female Smartphone Melanoma Early Detection of Cancer Skin Neoplasms
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