The article "Artificial Intelligence in Genetics" by Rohit S. Vilhekar and Alka Rawekar explores the application of artificial intelligence (AI) in genetic research and clinical care. AI is revolutionizing the field of genetics by enhancing genome sequencing, drug discovery, and precision medicine. The authors highlight how AI systems, particularly deep learning (DL), are improving the accuracy and efficiency of genetic data analysis, enabling better prediction of genetic disorders, and facilitating the development of personalized treatment plans. They discuss the potential of AI in early intervention and prevention, as well as the challenges and ethical considerations associated with its implementation. The review covers a wide range of applications, including cancer diagnosis, identifying at-risk populations, classifying genetic variations, and predicting patient ancestry. The authors emphasize the importance of collaboration between geneticists, physicians, and AI experts to fully leverage the benefits of AI in genetics while addressing ethical and social issues. Overall, the article underscores the transformative potential of AI in advancing genetic research and healthcare.The article "Artificial Intelligence in Genetics" by Rohit S. Vilhekar and Alka Rawekar explores the application of artificial intelligence (AI) in genetic research and clinical care. AI is revolutionizing the field of genetics by enhancing genome sequencing, drug discovery, and precision medicine. The authors highlight how AI systems, particularly deep learning (DL), are improving the accuracy and efficiency of genetic data analysis, enabling better prediction of genetic disorders, and facilitating the development of personalized treatment plans. They discuss the potential of AI in early intervention and prevention, as well as the challenges and ethical considerations associated with its implementation. The review covers a wide range of applications, including cancer diagnosis, identifying at-risk populations, classifying genetic variations, and predicting patient ancestry. The authors emphasize the importance of collaboration between geneticists, physicians, and AI experts to fully leverage the benefits of AI in genetics while addressing ethical and social issues. Overall, the article underscores the transformative potential of AI in advancing genetic research and healthcare.