[HTML][HTML] Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review
Background While artificial intelligence (AI) offers possibilities of advanced clinical
prediction and decision-making in healthcare, models trained on relatively homogeneous …
prediction and decision-making in healthcare, models trained on relatively homogeneous …
[HTML][HTML] Using unsupervised machine learning to identify age-and sex-independent severity subgroups among patients with COVID-19: observational longitudinal …
J Benito-León, MD Del Castillo, A Estirado… - Journal of Medical …, 2021 - jmir.org
Background Early detection and intervention are the key factors for improving outcomes in
patients with COVID-19. Objective The objective of this observational longitudinal study was …
patients with COVID-19. Objective The objective of this observational longitudinal study was …
Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?
Background The health crisis resulting from the global COVID-19 pandemic highlighted
more than ever the need for rapid, reliable and safe methods of diagnosis and monitoring of …
more than ever the need for rapid, reliable and safe methods of diagnosis and monitoring of …
[PDF][PDF] Sources of bias in artificial intelligence that perpetuate healthcare disparities—a global review. PLOS Digit Health 1 (3): e0000022
Background While artificial intelligence (AI) offers possibilities of advanced clinical
prediction and decision-making in healthcare, models trained on relatively homogeneous …
prediction and decision-making in healthcare, models trained on relatively homogeneous …
Mitigation measures for addressing gender bias in artificial intelligence within healthcare settings: a critical area of sociological inquiry
A Isaksson - AI & SOCIETY, 2024 - Springer
Artificial intelligence (AI) is often described as crucial for making healthcare safer and more
efficient. However, some studies point in the opposite direction, demonstrating how biases in …
efficient. However, some studies point in the opposite direction, demonstrating how biases in …
A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease
Background Mechanisms of myocardial ischemia in obstructive and non-obstructive
coronary artery disease (CAD), and the interplay between clinical, functional, biological and …
coronary artery disease (CAD), and the interplay between clinical, functional, biological and …
Gender blindness: On health and welfare technology, AI and gender equality in community care
S Frennert - Nursing Inquiry, 2021 - Wiley Online Library
Digital health and welfare technologies and artificial intelligence are proposed to
revolutionise healthcare systems around the world by enabling new models of care. Digital …
revolutionise healthcare systems around the world by enabling new models of care. Digital …
Towards Clinical AI Fairness: Filling Gaps in the Puzzle
The ethical integration of Artificial Intelligence (AI) in healthcare necessitates addressing
fairness-a concept that is highly context-specific across medical fields. Extensive studies …
fairness-a concept that is highly context-specific across medical fields. Extensive studies …
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
The escalating integration of machine learning in high-stakes fields such as healthcare
raises substantial concerns about model fairness. We propose an interpretable framework …
raises substantial concerns about model fairness. We propose an interpretable framework …
Künstliche Intelligenz in der Medizin? Intersektionale queerfeministische Kritik und Orientierung
R Baumgartner, W Ernst - GENDER–Zeitschrift für Geschlecht, Kultur …, 2023 - elibrary.utb.de
Algorithmen werden als zentrale Akteure der digitalen Transformation gehandelt. Künstliche
Intelligenz (KI) wird als Lösung für dringende aktuelle und zukünftige Probleme in der …
Intelligenz (KI) wird als Lösung für dringende aktuelle und zukünftige Probleme in der …