AIMC Topic: Sensitivity and Specificity

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An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm.

International journal of legal medicine Jan 3, 2021
Seasonal or monthly databases of the diatom populations in specific bodies of water are needed to infer the drowning site of a drowned body. However, existing diatom testing methods are laborious, time-consuming, and costly and usually require specif...
Neural Networks, Computer Artificial Intelligence Databases, Factual Sensitivity and Specificity Animals Rivers Models, Animal Diatoms Forensic Pathology Drowning Lung China Rats Rats, Sprague-Dawley Seasons
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Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics.

PloS one Dec 31, 2020
BACKGROUND: The diagnosis of gastric cancer mainly relies on endoscopy, which is invasive and costly. The aim of this study is to develop a predictive model for the diagnosis of gastric cancer based on noninvasive characteristics.
Kidney Function Tests Predictive Value of Tests Stomach Neoplasms CA-19-9 Antigen Liver Function Tests Sensitivity and Specificity Humans Blood Cell Count CA-125 Antigen Biomarkers, Tumor Machine Learning Male Female Middle Aged Aged
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Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers.

Cancer research Dec 21, 2020
Whole-slide histology images contain information that is valuable for clinical and basic science investigations of cancer but extracting quantitative measurements from these images is challenging for researchers who are not image analysis specialists...
Skin Neoplasms Image Interpretation, Computer-Assisted Neoplasms Medical Oncology Reproducibility of Results Image Processing, Computer-Assisted Datasets as Topic Sensitivity and Specificity Lymphocytes, Tumor-Infiltrating Breast Neoplasms Predictive Value of Tests Humans Biomedical Research Melanoma, Cutaneous Malignant Machine Learning Algorithms Software Prognosis Female Melanoma
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Improving rib fracture detection accuracy and reading efficiency with deep learning-based detection software: a clinical evaluation.

The British journal of radiology Dec 17, 2020
OBJECTIVES: To investigate the impact of deep learning (DL) on radiologists' detection accuracy and reading efficiency of rib fractures on CT.
Adolescent Radiographic Image Interpretation, Computer-Assisted Observer Variation Sensitivity and Specificity Male Middle Aged Deep Learning Rib Fractures Reproducibility of Results Humans Aged Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed Young Adult Ribs Adult Female
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Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection.

Scientific reports Dec 17, 2020
Recent advancements in deep learning have led to a resurgence of medical imaging and Electronic Medical Record (EMR) models for a variety of applications, including clinical decision support, automated workflow triage, clinical prediction and more. H...
Humans Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Workflow Electronic Health Records Pulmonary Embolism Clinical Decision-Making Disease Management Sensitivity and Specificity Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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Reducing scan time of paediatric Tc-DMSA SPECT via deep learning.

Clinical radiology Dec 16, 2020
AIM: To investigate the feasibility of reducing the scan time of paediatric technetium 99m (Tc) dimercaptosuccinic acid (DMSA) single-photon-emission computed tomographic (SPECT) using a deep learning (DL) method.
Kidney Kidney Diseases Feasibility Studies Tomography, Emission-Computed, Single-Photon Technetium Tc 99m Dimercaptosuccinic Acid Deep Learning Adolescent Time Factors Child, Preschool Child Female Sensitivity and Specificity Male Infant Humans Retrospective Studies
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The design and application of an automated microscope developed based on deep learning for fungal detection in dermatology.

Mycoses Dec 7, 2020
BACKGROUND: Light microscopy to study the infection of fungi in skin specimens is time-consuming and requires automation.
Fungi Microscopy Nails Hair Humans Automation, Laboratory Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Microscopy, Fluorescence Skin
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Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniques.

Scientific reports Dec 7, 2020
Parkinson's Disease (PD) is the second most common neurodegenerative disorder, affecting more than 1% of the population above 60 years old with both motor and non-motor symptoms of escalating severity as it progresses. Since it cannot be cured, treat...
Aged Sensitivity and Specificity Male Middle Aged Quality of Life Deep Learning ROC Curve Parkinson Disease Humans Female
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Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study.

Journal of medical Internet research Dec 2, 2020
BACKGROUND: Conventional diagnosis of COVID-19 with reverse transcription polymerase chain reaction (RT-PCR) testing (hereafter, PCR) is associated with prolonged time to diagnosis and significant costs to run the test. The SARS-CoV-2 virus might lea...
Pandemics COVID-19 Female Reproducibility of Results SARS-CoV-2 Humans Machine Learning Laboratories Middle Aged Aged Hematologic Tests Hospitals Adult ROC Curve Sensitivity and Specificity Area Under Curve Male Emergency Service, Hospital
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Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.

Scandinavian journal of trauma, resuscitation and emergency medicine Dec 1, 2020
BACKGROUND: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) diagnosis currently requires quite a long time span. A quicker and more efficient diagnostic tool in emergency depar...
Female SARS-CoV-2 Aged Sensitivity and Specificity Male Machine Learning Software COVID-19 Retrospective Studies Middle Aged Diagnosis, Computer-Assisted Reverse Transcriptase Polymerase Chain Reaction Humans
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