AIMC Topic: Bias

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Bias-reduced neural networks for parameter estimation in quantitative MRI.

Magnetic resonance in medicine May 4, 2024
PURPOSE: To develop neural network (NN)-based quantitative MRI parameter estimators with minimal bias and a variance close to the Cramér-Rao bound.
Algorithms Brain Computer Simulation Humans Neural Networks, Computer Bias Least-Squares Analysis Neuroimaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Reproducibility of Results
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A survey of recent methods for addressing AI fairness and bias in biomedicine.

Journal of biomedical informatics Apr 25, 2024
OBJECTIVES: Artificial intelligence (AI) systems have the potential to revolutionize clinical practices, including improving diagnostic accuracy and surgical decision-making, while also reducing costs and manpower. However, it is important to recogni...
Natural Language Processing Bias Humans Artificial Intelligence Algorithms Surveys and Questionnaires Machine Learning
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Supporting equitable and responsible highway safety improvement funding allocation strategies - Why AI prediction biases matter.

Accident; analysis and prevention Apr 17, 2024
The existing methodologies for allocating highway safety improvement funding closely rely on the utilization of crash prediction models. Specifically, these models produce predictions that estimate future crash hazard levels in different geographical...
Humans Artificial Intelligence Socioeconomic Factors Accidents, Traffic Safety Resource Allocation Models, Statistical Bias
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Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.

Journal of biomedical informatics Apr 14, 2024
OBJECTIVE: To develop a natural language processing (NLP) package to extract social determinants of health (SDoH) from clinical narratives, examine the bias among race and gender groups, test the generalizability of extracting SDoH for different dise...
Natural Language Processing Bias Documentation Female Social Determinants of Health Humans Male Data Mining Electronic Health Records Narration
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Minimizing bias when using artificial intelligence in critical care medicine.

Journal of critical care Mar 29, 2024
Humans Bias Critical Care Artificial Intelligence
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Comparing survival of older ovarian cancer patients treated with neoadjuvant chemotherapy versus primary cytoreductive surgery: Reducing bias through machine learning.

Gynecologic oncology Mar 29, 2024
OBJECTIVE: To develop and evaluate a multidimensional comorbidity index (MCI) that identifies ovarian cancer patients at risk of early mortality more accurately than the Charlson Comorbidity Index (CCI) for use in health services research.
Chemotherapy, Adjuvant SEER Program Neoadjuvant Therapy Carcinoma, Ovarian Epithelial Neoplasm Staging Aged, 80 and over Ovarian Neoplasms Cytoreduction Surgical Procedures Medicare Humans United States Bias Machine Learning Female Aged
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A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data.

BMC medical informatics and decision making Mar 28, 2024
Class imbalance remains a large problem in high-throughput omics analyses, causing bias towards the over-represented class when training machine learning-based classifiers. Oversampling is a common method used to balance classes, allowing for better ...
Machine Learning Bias
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Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses.

Journal of pharmaceutical sciences Mar 12, 2024
Subvisible particles may be encountered throughout the processing of therapeutic protein formulations. Flow imaging microscopy (FIM) and backgrounded membrane imaging (BMI) are techniques commonly used to record digital images of these particles, whi...
Microscopy Bias Neural Networks, Computer Machine Learning Algorithms
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Assessment of bias in scoring of AI-based radiotherapy segmentation and planning studies using modified TRIPOD and PROBAST guidelines as an example.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 2, 2024
BACKGROUND AND PURPOSE: Studies investigating the application of Artificial Intelligence (AI) in the field of radiotherapy exhibit substantial variations in terms of quality. The goal of this study was to assess the amount of transparency and bias in...
Radiotherapy Planning, Computer-Assisted Practice Guidelines as Topic Checklist Delphi Technique Humans Bias Reproducibility of Results Neoplasms Artificial Intelligence
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Assessing supervisor versus trainee viewpoints of entrustment through cognitive and affective lenses: an artificial intelligence investigation of bias in feedback.

Advances in health sciences education : theory and practice Feb 23, 2024
The entrustment framework redirects assessment from considering only trainees' competence to decision-making about their readiness to perform clinical tasks independently. Since trainees and supervisors both contribute to entrustment decisions, we ex...
Formative Feedback Male Female Cognition Clinical Competence Students, Medical Humans Bias Trust Artificial Intelligence Feedback
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