AIMC Topic: Bias

Clear Filters Showing 31 to 40 of 323 articles

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

BMC public health Dec 28, 2024
BACKGROUND: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population healt...
Population Health Noncommunicable Diseases Algorithms Humans Bias Machine Learning
View on PubMed DOI

Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research.

Science and engineering ethics Dec 24, 2024
Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense promise. Nevertheless, significant challenges must be addressed to avoid harm, promote the well-being of individuals and societies, and ensure ethically s...
Anthropology, Cultural Stakeholder Participation Ethics, Research Artificial Intelligence Bias Delivery of Health Care Social Sciences Humans Focus Groups
View on PubMed DOI

Enhancing consistency and mitigating bias: A data replay approach for incremental learning.

Neural networks : the official journal of the International Neural Network Society Dec 20, 2024
Deep learning systems are prone to catastrophic forgetting when learning from a sequence of tasks, as old data from previous tasks is unavailable when learning a new task. To address this, some methods propose replaying data from previous tasks durin...
Neural Networks, Computer Learning Deep Learning Bias Humans
View on PubMed DOI

Immune-based Machine learning Prediction of Diagnosis and Illness State in schizophrenia and bipolar Disorder: How data bias and overfitting were avoided.

Brain, behavior, and immunity Dec 17, 2024
In a letter critiquing our manuscript, Takefuji highlights general pitfalls in machine learning, without directly engaging with our study. The comments provide generic advice rather than a specific critique of our methods or findings. Despite raising...
Machine Learning Bipolar Disorder Bias Schizophrenia Humans
View on PubMed DOI

A Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers.

Science and engineering ethics Dec 17, 2024
We introduce the Bias Network Approach (BNA) as a sociotechnical method for AI developers to identify, map, and relate biases across the AI development process. This approach addresses the limitations of what we call the "isolationist approach to AI ...
Humans Artificial Intelligence Chile Decision Making Bias Pilot Projects
View on PubMed DOI

Ethical and Bias Considerations in Artificial Intelligence/Machine Learning.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 16, 2024
As artificial intelligence (AI) gains prominence in pathology and medicine, the ethical implications and potential biases within such integrated AI models will require careful scrutiny. Ethics and bias are important considerations in our practice set...
Artificial Intelligence Machine Learning Humans Bias Pathology
View on PubMed DOI

Classification-Based Detection and Quantification of Cross-Domain Data Bias in Materials Discovery.

Journal of chemical information and modeling Dec 16, 2024
It stands to reason that the amount and the quality of data are of key importance for setting up accurate artificial intelligence (AI)-driven models. Among others, a fundamental aspect to consider is the bias introduced during sample selection in dat...
Bias Artificial Intelligence
View on PubMed DOI

Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic data.

EBioMedicine Dec 12, 2024
BACKGROUND: Understanding the mechanisms of algorithmic bias is highly challenging due to the complexity and uncertainty of how various unknown sources of bias impact deep learning models trained with medical images. This study aims to bridge this kn...
Humans Brain Convolutional Neural Networks Diagnostic Imaging Algorithms Bias Databases, Factual Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment.

BMJ evidence-based medicine Nov 22, 2024
Large language models (LLMs) may facilitate and expedite systematic reviews, although the approach to integrate LLMs in the review process is unclear. This study evaluates GPT-4 agreement with human reviewers in assessing the risk of bias using the R...
Systematic Reviews as Topic Review Literature as Topic Humans Artificial Intelligence Bias Research Design
View on PubMed DOI

Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods.

JMIR medical informatics Nov 12, 2024
BACKGROUND: Artificial intelligence (AI) is rapidly being adopted to build products and aid in the decision-making process across industries. However, AI systems have been shown to exhibit and even amplify biases, causing a growing concern among peop...
Bias Artificial Intelligence Humans Natural Language Processing
View on PubMed DOI
Popular Topics
Recent Journals