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Transparency and Accountability in Healthcare AI: A Multilayered Survey on Fairness, Bias Mitigation, and Regulatory Compliance

https://doi.org/10.2139/ssrn.5362039
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Machine Learning and Health Care Disparities in Dermatology
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Trust me, I’m a researcher!: The role of trust in biomedical research
inferredcites →https://doi.org/10.1016/j.breast.2019.10.001openalex-snapshot
The ethical, legal and social implications of using artificial intelligence systems in breast cancer care
inferredcites →https://doi.org/10.1016/s2589-7500(20)30292-2openalex-snapshot
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
inferredcites →https://doi.org/10.1056/nejmra1814259openalex-snapshot
Machine Learning in Medicine
inferredcites →https://doi.org/10.1093/jamia/ocae060openalex-snapshot
Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models
inferredcites →https://doi.org/10.1109/access.2018.2870052openalex-snapshot
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
inferredcites →https://doi.org/10.1109/ssci52147.2023.10371919openalex-snapshot
Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis
inferredcites →https://doi.org/10.1126/science.aax2342openalex-snapshot
Dissecting racial bias in an algorithm used to manage the health of populations
inferredcites →https://doi.org/10.1136/bmjqs-2017-007756openalex-snapshot
Transforming concepts in patient safety: a progress report
inferredcites →https://doi.org/10.1136/svn-2017-000101openalex-snapshot
Artificial intelligence in healthcare: past, present and future
inferredcites →https://doi.org/10.1177/2053951716679679openalex-snapshot
The ethics of algorithms: Mapping the debate
inferredcites →https://doi.org/10.1371/journal.pdig.0000864openalex-snapshot
AI-driven healthcare: A review on ensuring fairness and mitigating bias
inferredcites →https://doi.org/10.21552/eplr/2020/1/4openalex-snapshot
AI as a Medical Device: Is it Enough to Ensure Performance Transparency and Accountability?
inferredcites →https://doi.org/10.21606/drs.2024.909openalex-snapshot
Love. The forgotten dimension for just and democratic AI Futures
inferredcites →https://doi.org/10.2196/12802openalex-snapshot
Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners’ Views
inferredcites →https://doi.org/10.3389/frai.2022.879603openalex-snapshot
Transparency of AI in Healthcare as a Multilayered System of Accountabilities: Between Legal Requirements and Technical Limitations
inferredcites →https://doi.org/10.48550/arxiv.1702.08608openalex-snapshot
Towards A Rigorous Science of Interpretable Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.2206.11981openalex-snapshot
Never trust, always verify : a roadmap for Trustworthy AI?
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