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

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.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

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

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

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: