Current and Future Applications of Artificial Intelligence in Clinical Genetics.

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.

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

• 1 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.
• 2 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.
• 3 It also touches on the ethical limitations of AI in medicine.

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: