AIMC Topic: Bias
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Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health.
The Milbank quarterly
Aug 8, 2024
Policy Points Artificial intelligence (AI) is disruptively innovating health care and surpassing our ability to define its boundaries and roles in health care and regulate its application in legal and ethical ways. Significant progress has been made ...
Ethical implications of AI-driven bias assessment in medicine.
BMJ evidence-based medicine
Jul 23, 2024
Recommendations to promote fairness and inclusion in biomedical AI research and clinical use.
Journal of biomedical informatics
Jul 15, 2024
OBJECTIVE: Understanding and quantifying biases when designing and implementing actionable approaches to increase fairness and inclusion is critical for artificial intelligence (AI) in biomedical applications.
Fair AI-powered orthopedic image segmentation: addressing bias and promoting equitable healthcare.
Scientific reports
Jul 12, 2024
AI-powered segmentation of hip and knee bony anatomy has revolutionized orthopedics, transforming pre-operative planning and post-operative assessment. Despite the remarkable advancements in AI algorithms for medical imaging, the potential for biases...
[Health for whom? Intersectionality and biases in the use of artificial intelligence in clinical diagnosis].
Anales del sistema sanitario de Navarra
Jul 4, 2024
Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects.
Diagnostic and interventional radiology (Ankara, Turkey)
Jul 2, 2024
Although artificial intelligence (AI) methods hold promise for medical imaging-based prediction tasks, their integration into medical practice may present a double-edged sword due to bias (i.e., systematic errors). AI algorithms have the potential to...
Algorithmic bias: Social science research integration through the 3-D Dependable AI Framework.
Current opinion in psychology
Jul 1, 2024
Algorithmic bias has emerged as a critical challenge in the age of responsible production of artificial intelligence (AI). This paper reviews recent research on algorithmic bias and proposes increased engagement of psychological and social science re...
Deep learning bias correction of GEMS tropospheric NO: A comparative validation of NO from GEMS and TROPOMI using Pandora observations.
Environment international
Jun 13, 2024
Despite advancements in satellite instruments, such as those in geostationary orbit, biases continue to affect the accuracy of satellite data. This research pioneers the use of a deep convolutional neural network to correct bias in tropospheric colum...
Mitigating machine learning bias between high income and low-middle income countries for enhanced model fairness and generalizability.
Scientific reports
Jun 10, 2024
Collaborative efforts in artificial intelligence (AI) are increasingly common between high-income countries (HICs) and low- to middle-income countries (LMICs). Given the resource limitations often encountered by LMICs, collaboration becomes crucial f...
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