Artificial intelligence in cardiovascular genetics

Recent advances in artificial intelligence software and hardware have led to increased interest in applying these tools in clinical practice. From clinical data analyses to image processing, a wide variety of algorithms and models have been developed and implemented in clinical practice to aid in diagnosis, management, and risk stratification for patients with cardiovascular diseases. Congruently, over the last three decades, the world of cardiogenetics and genomics has made gigantic strides in identifying disease-causative genes, disease-associated traits, and loci, developing genetic risk predictors and polygenic risk scores, and generating large next-generation sequencing datasets of patients with cardiovascular diseases (CVDs), all of which lend themselves to the development of artificial intelligence (AI)-based genetics/genomics tools. This chapter provides a brief history of cardiogenetics and how it is setting up the era of AI genetics, highlights several use cases for AI genetics in CVDs, and evaluates the challenges and opportunities for this emerging field.