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June 28, 2026Human GeneticsOpen Access

AI in variant analysis: fast track to genetic diagnoses

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Authors

EWElizabeth J. WilkSTSasha TaluriTHTimothy C. Howton

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Overview

Randomized trial shows AI enhances variant interpretation in genetic diagnostics, suggesting improved clinical outcomes.

Key Points

  • This research aims to improve the utility of genomic sequencing by employing AI to interpret genetic data more effectively.
  • Propose integrating AI throughout the genetic diagnostic workflow.
  • Discuss current AI-assisted approaches for variant interpretation.
  • Identify challenges such as data bias, privacy, and model explainability.
  • AI tools can bridge the interpretation gap, enhancing diagnostic precision.
  • Recommendations for 'human-in-the-loop' design improve AI adoption and trust.
  • Standardizing AI across the variant analysis pipeline can accelerate the path to genetic diagnoses.

Cite This Study

Wilk et al. (2026) studied this question.

synapsesocial.com/papers/6a40bae361bb0a67205c6a82https://doi.org/10.1007/s00439-026-02847-0
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  1. 1Artificial Intelligence and Genomic Data Analysis: New Frontiers in Precision Medicine2026
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