AIMC Topic: False Negative Reactions

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Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography.

Journal of gastroenterology Oct 3, 2018
BACKGROUND: Deep learning has become a new trend of image recognition tasks in the field of medicine. We developed an automated gastritis detection system using double-contrast upper gastrointestinal barium X-ray radiography.
Gastritis False Negative Reactions Barium Male Middle Aged Deep Learning Radiography Neural Networks, Computer Retrospective Studies Female Sensitivity and Specificity Humans
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Using predicate and provenance information from a knowledge graph for drug efficacy screening.

Journal of biomedical semantics Sep 6, 2018
BACKGROUND: Biomedical knowledge graphs have become important tools to computationally analyse the comprehensive body of biomedical knowledge. They represent knowledge as subject-predicate-object triples, in which the predicate indicates the relation...
ROC Curve False Negative Reactions Computer Graphics Drug Evaluation, Preclinical Biological Ontologies
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Predicting urinary tract infections in the emergency department with machine learning.

PloS one Mar 7, 2018
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) diagnosis with reported high diagnostic error rates. Because a urine culture, part of the gold standard for diagnosis of UTI, is usually not available for 24-48 hours aft...
False Positive Reactions Models, Biological Early Diagnosis Female False Negative Reactions Sensitivity and Specificity Humans Predictive Value of Tests Urine Machine Learning Area Under Curve Retrospective Studies Emergency Service, Hospital Urinary Tract Infections Male Middle Aged ROC Curve
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Random ensemble learning for EEG classification.

Artificial intelligence in medicine Jan 3, 2018
Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients' quality of life. Accurate evaluation, presurgical assessment, seizure prevention, and emergency alerts all depend on the rap...
Humans Neural Networks, Computer Brain Reproducibility of Results Time Factors Brain Waves Support Vector Machine Cloud Computing Brain Mapping Electrocorticography Automation Predictive Value of Tests False Negative Reactions Electroencephalography False Positive Reactions Seizures Signal Processing, Computer-Assisted Wavelet Analysis
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A categorical analysis of coreference resolution errors in biomedical texts.

Journal of biomedical informatics Feb 27, 2016
BACKGROUND: Coreference resolution is an essential task in information extraction from the published biomedical literature. It supports the discovery of complex information by linking referring expressions such as pronouns and appositives to their re...
Medical Informatics Semantics Pattern Recognition, Automated False Negative Reactions Problem Solving Humans Reproducibility of Results Algorithms Natural Language Processing Electronic Health Records Publications Language Data Mining
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External Validation of a Commercial Artificial Intelligence Algorithm on a Diverse Population for Detection of False Negative Breast Cancers.

Journal of breast imaging Jan 25, 2025
OBJECTIVE: There are limited data on the application of artificial intelligence (AI) on nonenriched, real-world screening mammograms. This work aims to evaluate the ability of AI to detect false negative cancers not detected at the time of screening ...
Artificial Intelligence Algorithms Retrospective Studies Female Humans Early Detection of Cancer Mammography Radiographic Image Interpretation, Computer-Assisted Breast False Negative Reactions Aged Adult Breast Neoplasms Middle Aged
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The diagnostic performance of deep-learning-based CT severity score to identify COVID-19 pneumonia.

The British journal of radiology Jan 1, 2022
OBJECTIVE: To determine the diagnostic accuracy of a deep-learning (DL)-based algorithm using chest computed tomography (CT) scans for the rapid diagnosis of coronavirus disease 2019 (COVID-19), as compared to the reference standard reverse-transcrip...
False Negative Reactions Reproducibility of Results False Positive Reactions Aged Radiography, Thoracic Adult Sensitivity and Specificity Male Severity of Illness Index Deep Learning Image Processing, Computer-Assisted COVID-19 Retrospective Studies Tomography, X-Ray Computed Humans Female
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Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images.

Technology in cancer research & treatment Jan 1, 2021
Signet ring cell carcinoma (SRCC) of the stomach is a rare type of cancer with a slowly rising incidence. It tends to be more difficult to detect by pathologists, mainly due to its cellular morphology and diffuse invasion manner, and it has poor prog...
Deep Learning ROC Curve Computational Biology Area Under Curve Carcinoma, Signet Ring Cell Humans Stomach Neoplasms Supervised Machine Learning False Negative Reactions False Positive Reactions
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Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography.

Journal of digital imaging Aug 1, 2019
To determine whether cmAssist™, an artificial intelligence-based computer-aided detection (AI-CAD) algorithm, can be used to improve radiologists' sensitivity in breast cancer screening and detection. A blinded retrospective study was performed with ...
Breast Neoplasms Middle Aged Mammography Radiographic Image Interpretation, Computer-Assisted Aged Aged, 80 and over Adult Sensitivity and Specificity Breast False Negative Reactions Humans Artificial Intelligence Retrospective Studies Female Reproducibility of Results
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Can we make a carpet smart enough to detect falls?

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In this paper, we have enhanced smart carpet, which is a floor based personnel detector system, to detect falls using a faster but low cost processor. Our hardware front end reads 128 sensors, with sensors output a voltage due to a person walking or ...
Video Recording Monitoring, Ambulatory False Negative Reactions Humans Floors and Floorcoverings Databases, Factual Artificial Intelligence Sensitivity and Specificity Algorithms Accidental Falls Computers Walking
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