AIMC Topic: Sensitivity and Specificity

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Deep learning performance compared to healthcare experts in detecting wrist fractures from radiographs: A systematic review and meta-analysis.

European journal of radiology Feb 27, 2024
OBJECTIVE: To perform a systematic review and meta-analysis of the diagnostic accuracy of deep learning (DL) algorithms in the diagnosis of wrist fractures (WF) on plain wrist radiographs, taking healthcare experts consensus as reference standard.
Wrist Fractures Fractures, Bone Radiography Radius Fractures Humans Sensitivity and Specificity Deep Learning
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Clinical Feasibility of Deep Learning-Based Attenuation Correction Models for Tl-201 Myocardial Perfusion SPECT.

Clinical nuclear medicine Feb 26, 2024
PURPOSE: We aimed to develop deep learning (DL)-based attenuation correction models for Tl-201 myocardial perfusion SPECT (MPS) images and evaluate their clinical feasibility.
Humans Tomography, Emission-Computed, Single-Photon Image Processing, Computer-Assisted Retrospective Studies Thallium Radioisotopes Female Feasibility Studies Male Aged Perfusion Middle Aged Sensitivity and Specificity Deep Learning
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Improving the second-tier classification of methylmalonic acidemia patients using a machine learning ensemble method.

World journal of pediatrics : WJP Feb 24, 2024
INTRODUCTION: Methylmalonic acidemia (MMA) is a disorder of autosomal recessive inheritance, with an estimated prevalence of 1:50,000. First-tier clinical diagnostic tests often return many false positives [five false positive (FP): one true positive...
Humans Amino Acid Metabolism, Inborn Errors Sensitivity and Specificity Machine Learning Male Female Neonatal Screening Infant, Newborn
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Rapid deep learning-assisted predictive diagnostics for point-of-care testing.

Nature communications Feb 24, 2024
Prominent techniques such as real-time polymerase chain reaction (RT-PCR), enzyme-linked immunosorbent assay (ELISA), and rapid kits are currently being explored to both enhance sensitivity and reduce assay time for diagnostic tests. Existing commerc...
Rapid Diagnostic Tests Communicable Diseases Deep Learning Sensitivity and Specificity Enzyme-Linked Immunosorbent Assay Humans Point-of-Care Systems Point-of-Care Testing
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Artificial intelligence for radiographic imaging detection of caries lesions: a systematic review.

BMC oral health Feb 24, 2024
BACKGROUND: The aim of this systematic review is to evaluate the diagnostic performance of Artificial Intelligence (AI) models designed for the detection of caries lesion (CL).
Artificial Intelligence Sensitivity and Specificity Deep Learning Dental Caries Radiography, Dental Humans Neural Networks, Computer
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Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon.

PLoS neglected tropical diseases Feb 23, 2024
INTRODUCTION: Schistosomiasis is a significant public health concern, especially in Sub-Saharan Africa. Conventional microscopy is the standard diagnostic method in resource-limited settings, but with limitations, such as the need for expert microsco...
Schistosoma haematobium Schistosomiasis haematobia Gabon Humans Artificial Intelligence Retrospective Studies Sensitivity and Specificity Microscopy
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Deep learning for automatic bowel-obstruction identification on abdominal CT.

European radiology Feb 22, 2024
RATIONALE AND OBJECTIVES: Automated evaluation of abdominal computed tomography (CT) scans should help radiologists manage their massive workloads, thereby leading to earlier diagnoses and better patient outcomes. Our objective was to develop a machi...
Humans Neural Networks, Computer Aged, 80 and over Adult Sensitivity and Specificity Tomography, X-Ray Computed Female Aged Radiography, Abdominal Adolescent Male Radiographic Image Interpretation, Computer-Assisted Middle Aged Intestinal Obstruction Deep Learning
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Diagnostic capabilities of artificial intelligence as an additional reader in a breast cancer screening program.

European radiology Feb 22, 2024
OBJECTIVES: We aimed to evaluate the early-detection capabilities of AI in a screening program over its duration, with a specific focus on the detection of interval cancers, the early detection of cancers with the assistance of AI from prior visits, ...
Early Detection of Cancer Mammography Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Middle Aged Mass Screening Humans Artificial Intelligence Workload Female Aged Sensitivity and Specificity
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Artificial intelligence applied to magnetic resonance imaging reliably detects the presence, but not the location, of meniscus tears: a systematic review and meta-analysis.

European radiology Feb 22, 2024
OBJECTIVES: To review and compare the accuracy of convolutional neural networks (CNN) for the diagnosis of meniscal tears in the current literature and analyze the decision-making processes utilized by these CNN algorithms.
Artificial Intelligence Sensitivity and Specificity Magnetic Resonance Imaging Tibial Meniscus Injuries Humans Neural Networks, Computer
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Towards an EKG for SBO: A Neural Network for Detection and Characterization of Bowel Obstruction on CT.

Journal of imaging informatics in medicine Feb 22, 2024
A neural network was developed to detect and characterize bowel obstruction, a common cause of acute abdominal pain. In this retrospective study, 202 CT scans of 165 patients with bowel obstruction from March to June 2022 were included and partitione...
Intestine, Small Middle Aged ROC Curve Intestinal Obstruction Tomography, X-Ray Computed Female Aged Adult Sensitivity and Specificity Male Humans Neural Networks, Computer Retrospective Studies
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