AIMC Topic: Bias

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Visualizing radiological data bias through persistence images.

Oncotarget Nov 12, 2024
Persistence images, derived from topological data analysis, emerge as a powerful tool for visualizing and mitigating biases in radiological data interpretation and AI model development. This technique transforms complex topological features into stab...
Humans Bias Artificial Intelligence Diagnostic Imaging Radiology
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Sociodemographic bias in clinical machine learning models: a scoping review of algorithmic bias instances and mechanisms.

Journal of clinical epidemiology Nov 10, 2024
BACKGROUND AND OBJECTIVES: Clinical machine learning (ML) technologies can sometimes be biased and their use could exacerbate health disparities. The extent to which bias is present, the groups who most frequently experience bias, and the mechanism t...
Humans Machine Learning Sociodemographic Factors Algorithms Female Male Socioeconomic Factors Bias
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Bias Sensitivity in Diagnostic Decision-Making: Comparing ChatGPT with Residents.

Journal of general internal medicine Nov 7, 2024
BACKGROUND: Diagnostic errors, often due to biases in clinical reasoning, significantly affect patient care. While artificial intelligence chatbots like ChatGPT could help mitigate such biases, their potential susceptibility to biases is unknown.
Internship and Residency Bias Netherlands Female Adult Diagnostic Errors Male Clinical Competence Generative Artificial Intelligence Humans Artificial Intelligence Clinical Decision-Making
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AmbiBias Contrast: Enhancing debiasing networks via disentangled space from ambiguity-bias clusters.

Neural networks : the official journal of the International Neural Network Society Nov 5, 2024
The goal of debiasing in classification tasks is to train models to be less sensitive to correlations between a sample's target attribution and periodically occurring contextual attributes to achieve accurate classification. A prevalent method involv...
Humans Neural Networks, Computer Machine Learning Algorithms Cluster Analysis Bias
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Artificial intelligence tools trained on human-labeled data reflect human biases: a case study in a large clinical consecutive knee osteoarthritis cohort.

Scientific reports Nov 5, 2024
Humans have been shown to have biases when reading medical images, raising questions about whether humans are uniform in their disease gradings. Artificial intelligence (AI) tools trained on human-labeled data may have inherent human non-uniformity. ...
Bias Osteoarthritis, Knee Cohort Studies Radiography Retrospective Studies Female Aged Male Middle Aged Humans Artificial Intelligence
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Evaluating machine learning model bias and racial disparities in non-small cell lung cancer using SEER registry data.

Health care management science Nov 4, 2024
BACKGROUND: Despite decades of pursuing health equity, racial and ethnic disparities persist in healthcare in America. For cancer specifically, one of the leading observed disparities is worse mortality among non-Hispanic Black patients compared to n...
Humans Male Middle Aged Lung Neoplasms Machine Learning Female Aged Ethnicity Proportional Hazards Models Black or African American Racial Groups White Bias Healthcare Disparities SEER Program United States Carcinoma, Non-Small-Cell Lung
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Mitigating biases in feature selection and importance assessments in predictive models using LASSO regression.

Oral oncology Nov 1, 2024
Yuan et al. developed a predictive model for early response using sub-regional radiomic features from multi-sequence MRI alongside clinical factors. However, biases in feature selection and assessment may lead to misleading conclusions regarding feat...
Magnetic Resonance Imaging Models, Statistical Bias Humans Machine Learning
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Laboratory Data as a Potential Source of Bias in Healthcare Artificial Intelligence and Machine Learning Models.

Annals of laboratory medicine Oct 24, 2024
Artificial intelligence (AI) and machine learning (ML) are anticipated to transform the practice of medicine. As one of the largest sources of digital data in healthcare, laboratory results can strongly influence AI and ML algorithms that require lar...
Algorithms Delivery of Health Care Bias Humans Artificial Intelligence Machine Learning
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Ethicara for Responsible AI in Healthcare: A System for Bias Detection and AI Risk Management.

AMIA ... Annual Symposium proceedings. AMIA Symposium Oct 21, 2024
The increasing torrents of health AI innovations hold promise for facilitating the delivery of patient-centered care. Yet the enablement and adoption of AI innovations in the healthcare and life science industries can be challenging with the rising c...
Bias Delivery of Health Care Humans Risk Assessment Artificial Intelligence Risk Management
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Data-centric challenges with the application and adoption of artificial intelligence for drug discovery.

Expert opinion on drug discovery Sep 24, 2024
INTRODUCTION: Artificial intelligence (AI) is exhibiting tremendous potential to reduce the massive costs and long timescales of drug discovery. There are however important challenges currently limiting the impact and scope of AI models.
Benchmarking Humans Uncertainty Artificial Intelligence Drug Development Drug Discovery Bias Models, Theoretical
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