Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
Machine learning (ML) and artificial intelligence (AI) algorithms have the potential to derive insights from clinical data and improve patient outcomes. However, these highly complex systems are sensitive to changes in the environment and liable to performance decay. Even after their successful integration into clinical practice, ML/AI algorithms should be continuously monitored and updated to ensure their long-term safety and effectiveness. To bring AI into maturity in clinical care, we advocat
Record details
Published: 31 May 2022
Source: OpenAlex
Category: Research
Topics: Healthcare · Environment
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (31 May 2022), “Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare,” evidence record 9132, https://ethics.ai/record/9132 (originally published by OpenAlex).
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