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Current and Future Applications of Artificial Intelligence in Clinical Genetics.

📅 January 1, 2026 👤 Lawrence Janet 📖 Cureus

🤖 Plain-English Summary

Artificial Intelligence (AI) is transforming medicine, and its influence on clinical genetics cannot be ignored. This editorial explores current applications, highlights emerging advances, and discusses briefly the potential trajectory of AI in clinical genetics and our role to play as healthcare professionals.

🔑 Key Findings

  • From variant analysis and diagnostic interpretation to predictive and prognostic medicine, AI is improving the efficacy of genetic and genomic medicine using machine learning and deep learning systems to process large sequences of genomic data.
  • This editorial explores current applications, highlights emerging advances, and discusses briefly the potential trajectory of AI in clinical genetics and our role to play as healthcare professionals.
  • It also touches on the ethical limitations of AI in medicine.

💡 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 01, 2026
Journal Cureus
Authors Lawrence Janet
DOI 10.7759/cureus.100581
Source PubMed

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