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Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup.

📅 January 18, 2024 👤 Walton Nephi A, Nagarajan Radha, Wang Chen et al. 📖 Journal of the American Medical Informatics Association : JAMIA

🤖 Plain-English Summary

Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association-Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can further enable the clinical application of AI in this space. Genomic data standards are critical to effectively scale such technologies across institutions.

🔑 Key Findings

  • A list of relevant factors was developed through GenTBI workgroup discussions in multiple in-person and online meetings, along with review of pertinent publications.
  • This list was then summarized and reviewed to achieve consensus among the group members.
  • Substantial informatics research and development are needed to fully realize the clinical potential of such technologies.

💡 Why This Matters

Understanding this could lead to better treatments, improved diagnostics, or a deeper grasp of how the human body works — benefiting patient care globally.

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📋 Article Details

Category 🧬 Medicine & Biology
Published Jan 18, 2024
Journal Journal of the American Medical Informatics Association : JAMIA
Authors Walton Nephi A, Nagarajan Radha, Wang Chen, Sincan Murat, Freimuth Robert R
DOI 10.1093/jamia/ocad211
Source PubMed

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