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Together with deep learning (DL) and machine learning (ML), AI is currently a buzzword across almost all scientific disciplines and has the potential to revolutionize diagnostic approaches in inherited diseases. But when it comes to variant curation, is AI capable of replacing human expertise? In a new study, Stanford University compares data quality from their Automatic VAriant evidence DAtabase (AVADA) to the Human Gene Mutation Database (HGMD).