AIMC Topic: Bias

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Can AI deliver advice that is judgement-free for science policy?

Nature Dec 1, 2023
Artificial Intelligence Machine Learning Policy Bias Science
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Considering Biased Data as Informative Artifacts in AI-Assisted Health Care.

The New England journal of medicine Aug 31, 2023
Humans Artificial Intelligence Delivery of Health Care Data Interpretation, Statistical Bias Artifacts
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Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features.

Bioinformatics (Oxford, England) Aug 1, 2023
MOTIVATION: Random forest is a popular machine learning approach for the analysis of high-dimensional data because it is flexible and provides variable importance measures for the selection of relevant features. However, the complex relationships bet...
Machine Learning Bias Random Forest Gene Frequency
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Making decisions: Bias in artificial intelligence and data‑driven diagnostic tools.

Australian journal of general practice Jul 1, 2023
BACKGROUND: Although numerous studies have shown the potential of artificial intelligence (AI) systems in drastically improving clinical practice, there are concerns that these AI systems could replicate existing biases.
Humans Artificial Intelligence Medicine Patient Safety Decision Making Bias
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Artificial Intelligence Bias and Ethics in Retinal Imaging.

JAMA ophthalmology Jun 1, 2023
Humans Artificial Intelligence Diagnostic Imaging Bias Retina
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Fairness in Artificial Intelligence: Regulatory Sanbox Evaluation of Bias Prevention for ECG Classification.

Studies in health technology and informatics May 18, 2023
As the use of artificial intelligence within healthcare is on the rise, an increased attention has been directed towards ethical considerations. Defining fairness in machine learning is a well explored topic with an extensive literature. However, suc...
Artificial Intelligence Machine Learning Electrocardiography Bias Benchmarking
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Health-Related Content in Transformer-Based Language Models: Exploring Bias in Domain General vs. Domain Specific Training Sets.

Studies in health technology and informatics May 18, 2023
In this communication, we demonstrate that the bias observed in domain general training sets with health-related content is not improved in domain specific health-communication corpora, contra.
Language Natural Language Processing Bias
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Optimizing Equity: Working towards Fair Machine Learning Algorithms in Laboratory Medicine.

The journal of applied laboratory medicine Jan 4, 2023
BACKGROUND: Methods of machine learning provide opportunities to use real-world data to solve complex problems. Applications of these methods in laboratory medicine promise to increase diagnostic accuracy and streamline laboratory operations leading ...
Humans Machine Learning Algorithms Delivery of Health Care Bias Laboratories
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The Bias-Variance Tradeoff in Cognitive Science.

Cognitive science Jan 1, 2023
The bias-variance tradeoff is a theoretical concept that suggests machine learning algorithms are susceptible to two kinds of error, with some algorithms tending to suffer from one more than the other. In this letter, we claim that the bias-variance ...
Humans Machine Learning Algorithms Cognition Bias
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Exploiting geometric biases in inverse nano-optical problems using artificial neural networks.

Optics express Dec 5, 2022
Solving the inverse problem is a major challenge in contemporary nano-optics. However, frequently not just a possible solution needs to be found but rather the solution that accommodates constraints imposed by the problem at hand. To select the most ...
Neural Networks, Computer Bias Optics and Photonics
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