AIMC Topic: False Positive Reactions

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False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports Jul 2, 2025
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai...
ROC Curve Humans False Positive Reactions Machine Learning Computer Security Algorithms Federated Learning Electronic Health Records
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Lung nodule detection using a multi-scale convolutional neural network and global channel spatial attention mechanisms.

Scientific reports Apr 10, 2025
Early detection of lung nodules is crucial for the prevention and treatment of lung cancer. However, current methods face challenges such as missing small nodules, variations in nodule size, and high false positive rates. To address these challenges,...
Convolutional Neural Networks Lung Neoplasms Solitary Pulmonary Nodule False Positive Reactions Humans Algorithms Tomography, X-Ray Computed
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Using aggregated AI detector outcomes to eliminate false positives in STEM-student writing.

Advances in physiology education Mar 19, 2025
Generative artificial intelligence (AI) large language models have become sufficiently accessible and user-friendly to assist students with course work, studying tactics, and written communication. AI-generated writing is almost indistinguishable fro...
Artificial Intelligence Writing Female Male Students Educational Measurement Humans False Positive Reactions
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Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography.

La Radiologia medica Feb 12, 2025
PURPOSE: To determine how automation bias (inclination of humans to overly trust-automated decision-making systems) can affect radiologists when interpreting AI-detected cerebral aneurysm findings in time-of-flight magnetic resonance angiography (TOF...
Aged Adult Male Middle Aged Humans Artificial Intelligence Female False Positive Reactions Magnetic Resonance Angiography Intracranial Aneurysm Bias Image Interpretation, Computer-Assisted Automation
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Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization.

PloS one Jan 27, 2025
In 2019, the novel coronavirus swept the world, exposing the monitoring and early warning problems of the medical system. Computer-aided diagnosis models based on deep learning have good universality and can well alleviate these problems. However, tr...
False Positive Reactions Betacoronavirus Pneumonia, Viral Particle Swarm Optimization ROC Curve Image Processing, Computer-Assisted Coronavirus Infections Pandemics COVID-19 Algorithms Tomography, X-Ray Computed SARS-CoV-2 Lung Deep Learning Humans
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Artificial Intelligence Driven Prehospital ECG Interpretation for the Reduction of False Positive Emergent Cardiac Catheterization Lab Activations: A Retrospective Cohort Study.

Prehospital emergency care Sep 12, 2024
OBJECTIVES: Data suggest patients suffering acute coronary occlusion myocardial infarction (OMI) benefit from prompt primary percutaneous intervention (PPCI). Many emergency medical services (EMS) activate catheterization labs to reduce time to PPCI,...
False Positive Reactions Coronary Occlusion Cardiac Catheterization Electrocardiography Emergency Medical Services Myocardial Infarction Humans Artificial Intelligence Algorithms Retrospective Studies Female Aged Male Middle Aged
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Deep Learning Reconstruction of Accelerated MRI: False-Positive Cartilage Delamination Inserted in MRI Arthrography Under Traction.

Topics in magnetic resonance imaging : TMRI Jul 12, 2024
OBJECTIVES: The radiological imaging industry is developing and starting to offer a range of novel artificial intelligence software solutions for clinical radiology. Deep learning reconstruction of magnetic resonance imaging data seems to allow for t...
Humans Adult Male Deep Learning Image Processing, Computer-Assisted Hip Joint Cartilage, Articular Arthrography Traction Magnetic Resonance Imaging Image Interpretation, Computer-Assisted False Positive Reactions
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Frequency and characteristics of errors by artificial intelligence (AI) in reading screening mammography: a systematic review.

Breast cancer research and treatment Jun 9, 2024
PURPOSE: Artificial intelligence (AI) for reading breast screening mammograms could potentially replace (some) human-reading and improve screening effectiveness. This systematic review aims to identify and quantify the types of AI errors to better un...
False Negative Reactions False Positive Reactions Diagnostic Errors Breast Neoplasms Early Detection of Cancer Mammography Artificial Intelligence Algorithms Female Humans
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Leveraging conformal prediction to annotate enzyme function space with limited false positives.

PLoS computational biology May 29, 2024
Machine learning (ML) is increasingly being used to guide biological discovery in biomedicine such as prioritizing promising small molecules in drug discovery. In those applications, ML models are used to predict the properties of biological systems,...
Humans Computational Biology Machine Learning False Positive Reactions Deep Learning Enzymes
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Diagnostic performance of deep learning to exclude coronary stenosis on CT angiography in TAVI patients.

The international journal of cardiovascular imaging Mar 10, 2024
We evaluated the diagnostic performance of a deep-learning model (DLM) (CorEx®, Spimed-AI, Paris, France) designed to automatically detect > 50% coronary stenosis on coronary computed tomography angiography (CCTA) images. We studied inter-observer va...
Multidetector Computed Tomography Computed Tomography Angiography Coronary Stenosis Transcatheter Aortic Valve Replacement Observer Variation Severity of Illness Index Coronary Vessels Deep Learning False Positive Reactions Aortic Valve Stenosis Reproducibility of Results Aortic Valve Aged Predictive Value of Tests Aged, 80 and over Coronary Angiography Male Radiographic Image Interpretation, Computer-Assisted Humans Retrospective Studies Female
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