BMJ Quality & Safety· 2019Q1
Artificial intelligence, bias and clinical safety
- 909citations
- Q1SCImago
- 2019year
Short summary
AI algorithms used in healthcare can perpetuate and amplify existing biases, leading to unsafe clinical decisions and exacerbating health inequities.
AI-generated from the title and abstract; the full text is not read.
Key points
- AI algorithms can embed and amplify societal biases present in healthcare data.
- Biased AI can lead to unsafe clinical decisions and inequitable patient care.
- Existing regulatory frameworks are insufficient to address AI-specific safety concerns.
- Proactive bias detection and mitigation are crucial for safe AI implementation.
AI-generated from the title and abstract; the full text is not read.
Abstract
This is the final version. Available on open access from BMJ Publishing group via the DOI in this record
The authors' abstract, as published at the source. BMJ Quality & Safety, 2019 · DOI ↗
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Field: Health Informatics
Health InformaticsMedicine