Bias in medical AI: Implications for clinical decision-making
Biases in medical artificial intelligence (AI) arise and compound throughout the AI lifecycle. These biases can have significant clinical consequences, especially in applications that involve clinical decision-making. Left unaddressed, biased medical AI can lead to substandard clinical decisions and the perpetuation and exacerbation of longstanding healthcare disparities. We discuss potential biases that can arise at different stages in the AI development pipeline and how they can affect AI algo
Record details
Published: 7 November 2024
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Healthcare
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (7 November 2024), “Bias in medical AI: Implications for clinical decision-making,” evidence record 9485, https://ethics.ai/record/9485 (originally published by OpenAlex).
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