Oct 20, 2026 · 3 min · 6 segments
Commentary by Dr. Qinkai Yu.
Traditional RICS models rely on clinical factors or biomarkers, but they do not fully capture the electrical or genetic changes that occur before AI develops.
Meanwhile, AI, especially deep learning applied to ECGs, can detect subtle patterns invisible to clinicals.
And in parallel, large genetic studies have revealed hundreds of AI-related genetic losses, showing the strong hereditary components of disease.
Traditional RICS models rely on clinical factors or biomarkers, but they do not fully capture the electrical or genetic changes that occur before AI develops.
Meanwhile, AI, especially deep learning applied to ECGs, can detect subtle patterns invisible to clinicals.
And in parallel, large genetic studies have revealed hundreds of AI-related genetic losses, showing the strong hereditary components of disease.
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