Concepedia

Standing on FURM Ground: A Framework for Evaluating Fair, Useful, and Reliable AI Models in Health Care Systems

Alison Callahan, Duncan C. McElfresh, Juan M. Banda, Gabrielle Bunney, Danton Char, Jonathan H. Chen, Conor K. Corbin, Debadutta Dash, N. Lance Downing, Sneha S. Jain,

NEJM Catalyst · 2024 · 50 citations · 25 references

DOI

Concepts

References

25

Ensuring Fairness in Machine Learning to Advance Health Equity

Alvin Rajkomar, Michaela Hardt, Michael Howell et al. · Annals of Internal Medicine · 2018 · 1.2K citations · Full text

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Artificial intelligence, bias and clinical safety

Robert Challen, Joshua C. Denny, Martin Pitt et al. · BMJ Quality & Safety · 2019 · 903 citations · Full text

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Potential Liability for Physicians Using Artificial Intelligence

W. Nicholson Price, Sara Gerke, I. Glenn Cohen · JAMA · 2019 · 501 citations

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Identifying Ethical Considerations for Machine Learning Healthcare Applications

Danton Char, Michael D. Abràmoff, Chris Feudtner · The American Journal of Bioethics · 2020 · 400 citations · Full text

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Calibration drift in regression and machine learning models for acute kidney injury

Sharon E. Davis, Thomas A. Lasko, Guanhua Chen et al. · Journal of the American Medical Informatics Association · 2017 · 283 citations · Full text

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