AIMC Topic: Sensitivity and Specificity

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Dual resolution deep learning network with self-attention mechanism for classification and localisation of colorectal cancer in histopathological images.

Journal of clinical pathology Mar 10, 2022
AIMS: Microscopic examination is a basic diagnostic technology for colorectal cancer (CRC), but it is very laborious. We developed a dual resolution deep learning network with self-attention mechanism (DRSANet) which combines context and details for ...
Colorectal Neoplasms Diagnosis, Computer-Assisted Humans Deep Learning Pathologists Sensitivity and Specificity
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A deep learning-driven low-power, accurate, and portable platform for rapid detection of COVID-19 using reverse-transcription loop-mediated isothermal amplification.

Scientific reports Mar 8, 2022
This paper presents a deep learning-driven portable, accurate, low-cost, and easy-to-use device to perform Reverse-Transcription Loop-Mediated Isothermal Amplification (RT-LAMP) to facilitate rapid detection of COVID-19. The 3D-printed device-powered...
Deep Learning ROC Curve Molecular Diagnostic Techniques SARS-CoV-2 Sensitivity and Specificity Point-of-Care Systems RNA, Viral Coloring Agents COVID-19 Testing Nasopharynx Nucleic Acid Amplification Techniques Printing, Three-Dimensional Area Under Curve Humans COVID-19
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Automatic detection of passing and shooting in water polo using machine learning: a feasibility study.

Sports biomechanics Feb 28, 2022
There is currently no efficient way to quantify overhead throwing volume in water polo. Therefore, this study aimed to test the feasibility of a method to detect passes and shots in water polo automatically using inertial measurement units (IMU) and ...
Video Recording Young Adult Water Sports Adult Wrist Motor Skills Sensitivity and Specificity Feasibility Studies Biomechanical Phenomena Humans Athletic Performance Male Neural Networks, Computer Support Vector Machine Machine Learning
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Tomographic Ultrasound Imaging in the Diagnosis of Breast Tumors under the Guidance of Deep Learning Algorithms.

Computational intelligence and neuroscience Feb 28, 2022
This study was aimed to discuss the feasibility of distinguishing benign and malignant breast tumors under the tomographic ultrasound imaging (TUI) of deep learning algorithm. The deep learning algorithm was used to segment the images, and 120 patien...
Algorithms Ultrasonography Humans Sensitivity and Specificity Tomography, X-Ray Computed Female Breast Neoplasms Deep Learning
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Can Artificial Intelligence Be Applied to Diagnose Intracerebral Hemorrhage under the Background of the Fourth Industrial Revolution? A Novel Systemic Review and Meta-Analysis.

International journal of clinical practice Feb 24, 2022
AIM: We intended to provide the clinical evidence that artificial intelligence (AI) could be used to assist doctors in the diagnosis of intracerebral hemorrhage (ICH).
Cerebral Hemorrhage Humans Artificial Intelligence Predictive Value of Tests Sensitivity and Specificity
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A Multiparametric Fusion Deep Learning Model Based on DCE-MRI for Preoperative Prediction of Microvascular Invasion in Intrahepatic Cholangiocarcinoma.

Journal of magnetic resonance imaging : JMRI Feb 22, 2022
BACKGROUND: Assessment of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICC) by using a noninvasive method is an unresolved issue. Deep learning (DL) methods based on multiparametric fusion of MR images have the potential of preope...
Humans Retrospective Studies Bile Ducts, Intrahepatic Female Magnetic Resonance Imaging Sensitivity and Specificity Male Bile Duct Neoplasms Deep Learning Cholangiocarcinoma
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Deep learning-based detection of parathyroid adenoma by Tc-MIBI scintigraphy in patients with primary hyperparathyroidism.

Annals of nuclear medicine Feb 18, 2022
OBJECTIVE: It is important to detect parathyroid adenomas by parathyroid scintigraphy with 99m-technetium sestamibi (Tc-MIBI) before surgery. This study aimed to develop and validate deep learning (DL)-based models to detect parathyroid adenoma in pa...
Radionuclide Imaging Parathyroid Neoplasms Technetium Tc 99m Sestamibi Hyperparathyroidism, Primary Technetium Parathyroid Glands Deep Learning Adenoma Radiopharmaceuticals Humans Female Aged Sensitivity and Specificity Male Middle Aged
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Protocol for the diagnosis of keratoconus using convolutional neural networks.

PloS one Feb 18, 2022
Keratoconus is the corneal disease with the highest reported incidence of 1:2000. The treatment's level of success highly depends on how early it was started. Subsequently, a fast and highly capable diagnostic tool is crucial. While there are many co...
Sensitivity and Specificity Diagnosis, Computer-Assisted Keratoconus Humans Neural Networks, Computer
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Deep learning-based diagnosis models for onychomycosis in dermoscopy.

Mycoses Feb 17, 2022
BACKGROUND: Onychomycosis is a common disease. Emerging noninvasive, real-time techniques such as dermoscopy and deep convolutional neural networks have been proposed for the diagnosis of onychomycosis. However, deep learning application in dermoscop...
Humans Neural Networks, Computer Onychomycosis Dermoscopy Sensitivity and Specificity Deep Learning
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Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.

BMC medical imaging Feb 17, 2022
BACKGROUND: To investigate the influence of artificial intelligence (AI) based on deep learning on the diagnostic performance and consistency of inexperienced cardiovascular radiologists.
Deep Learning Clinical Competence Area Under Curve Aged Sensitivity and Specificity Middle Aged Coronary Stenosis Coronary Angiography Observer Variation Computed Tomography Angiography Humans Artificial Intelligence Retrospective Studies
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