The Utility of AI in Clinical Genomics Workflows
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This session explores the evolving role of artificial intelligence in clinical genomics, highlighting both its potential and limitations. Presentations will cover applications ranging from literature summarization, variant prioritization and classification to real-world integration in diagnostic workflows. Attendees will gain insights into how AI tools can support, but not replace, human expertise in clinical genomics workflows.
Learning Objectives
- Explain how AI tools can be used to improve literature review, gene prioritization and variant identification in clinical diagnostic testing
- Evaluate limitations of AI in clinical genomics workflows