AIMC Topic: False Positive Reactions

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Detecting suicidal risk using MMPI-2 based on machine learning algorithm.

Scientific reports Jul 28, 2021
Minnesota Multiphasic Personality Inventory-2 (MMPI-2) is a widely used tool for early detection of psychological maladjustment and assessing the level of adaptation for a large group in clinical settings, schools, and corporations. This study aims t...
False Positive Reactions MMPI Suicidal Ideation Suicide ROC Curve Area Under Curve Machine Learning Female Risk Factors Young Adult Male Risk Assessment Suicide, Attempted Adolescent Suicide Prevention Humans
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Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Emotions composed of cognizant logical reactions toward various situations. Such mental responses stem from physiological, cognitive, and behavioral changes. Electroencephalogram (EEG) signals provide a noninvasive and nonradioactive solution for emo...
Humans Neural Networks, Computer Machine Learning Emotions Algorithms Electroencephalography Female Pattern Recognition, Automated Reproducibility of Results Brain-Computer Interfaces Young Adult False Positive Reactions Male
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Against spatial-temporal discrepancy: contrastive learning-based network for surgical workflow recognition.

International journal of computer assisted radiology and surgery May 5, 2021
PURPOSE: Automatic workflow recognition from surgical videos is fundamental and significant for developing context-aware systems in modern operating rooms. Although many approaches have been proposed to tackle challenges in this complex task, there a...
Reproducibility of Results Workflow False Positive Reactions Operating Rooms Humans Neural Networks, Computer Algorithms Learning
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Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning.

Nature biomedical engineering Apr 19, 2021
The clinical application of breast ultrasound for the assessment of cancer risk and of deep learning for the classification of breast-ultrasound images has been hindered by inter-grader variability and high false positive rates and by deep-learning m...
Image Interpretation, Computer-Assisted Datasets as Topic Observer Variation False Positive Reactions Deep Learning Ultrasonography Mammography Predictive Value of Tests Humans Prospective Studies Female Adult Breast Neoplasms Middle Aged Risk Assessment
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High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels.

BMC medical imaging Apr 9, 2021
BACKGROUND: Reidentification of prior nodules for temporal comparison is an important but time-consuming step in lung cancer screening. We develop and evaluate an automated nodule detector that utilizes the axial-slice number of nodules found in radi...
Humans Middle Aged Lung Neoplasms Solitary Pulmonary Nodule Tumor Burden False Positive Reactions Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Female Male
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App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning.

PloS one Mar 25, 2021
BACKGROUND: Tests are scarce resources, especially in low and middle-income countries, and the optimization of testing programs during a pandemic is critical for the effectiveness of the disease control. Hence, we aim to use the combination of sympto...
Anosmia Female SARS-CoV-2 Adult COVID-19 Testing Humans Brazil Male Dyspnea Machine Learning Mobile Applications Middle Aged False Negative Reactions COVID-19 Registries Retrospective Studies Fever False Positive Reactions Self Report Risk
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Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage.

World neurosurgery Mar 5, 2021
BACKGROUND: Immediate and accurate detection of intracranial hemorrhages (ICHs) is essential to provide a good clinical outcome for patients with ICH. Artificial intelligence has the potential to provide this, but the assessment of these methods need...
Glasgow Coma Scale Aged Sensitivity and Specificity Male Middle Aged Artificial Intelligence Cohort Studies Image Processing, Computer-Assisted Algorithms Humans Predictive Value of Tests Retrospective Studies Stroke Tomography, X-Ray Computed False Positive Reactions Female Intracranial Hemorrhages
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Deep learning approaches for automated classification and segmentation of head and neck cancers and brain tumors in magnetic resonance images: a meta-analysis study.

International journal of computer assisted radiology and surgery Mar 5, 2021
PURPOSE: Deep learning (DL) has led to widespread changes in automated segmentation and classification for medical purposes. This study is an attempt to use statistical methods to analyze studies related to segmentation and classification of head and...
Pattern Recognition, Automated False Positive Reactions Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Glioma Magnetic Resonance Imaging Humans Software Brain Neoplasms
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The 3D reconstructed skin micronucleus assay using imaging flow cytometry and deep learning: A proof-of-principle investigation.

Mutation research. Genetic toxicology and environmental mutagenesis Jan 20, 2021
The reconstructed skin micronucleus (RSMN) assay was developed in 2006, as an in vitro alternative for genotoxicity evaluation of dermally applied chemicals or products. In the years since, significant progress has been made in the optimization of th...
Feasibility Studies Models, Biological Proof of Concept Study Deep Learning Humans Image Processing, Computer-Assisted Tissue Scaffolds Micronucleus Tests Artificial Intelligence Predictive Value of Tests False Positive Reactions Software Flow Cytometry Mutagenicity Tests Automation, Laboratory Skin Mitomycin Skin, Artificial
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Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses.

Scientific reports Jan 11, 2021
A major limitation of screening breast ultrasound (US) is a substantial number of false-positive biopsy. This study aimed to develop a deep learning-based computer-aided diagnosis (DL-CAD)-based diagnostic model to improve the differential diagnosis ...
Adult Middle Aged Diagnosis, Computer-Assisted Deep Learning Cohort Studies Mass Screening Mammography Diagnosis, Differential Ultrasonography, Mammary Female Reproducibility of Results Aged Aged, 80 and over Breast Humans Young Adult False Positive Reactions Software Breast Diseases Retrospective Studies
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