Ethical debates amidst flawed healthcare artificial intelligence metrics.
expert_opinion · Level V
Where this comes from
- Record sourced from PubMed, PMID 39261642.
- Also identified by DOI 10.1038/s41746-024-01242-1 and PMC identifier 11390731.
- Licence recorded as CC BY-NC-ND.
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Abstract
Healthcare AI faces an ethical dilemma between selective and equitable deployment, exacerbated by flawed performance metrics. These metrics inadequately capture real-world complexities and biases, leading to premature assertions of effectiveness. Improved evaluation practices, including continuous monitoring and silent evaluation periods, are crucial. To address these fundamental shortcomings, a paradigm shift in AI assessment is needed, prioritizing actual patient outcomes over conventional benchmarking.