Artificial intelligence in action: Accelerating diagnosis and treatment plans through genomic pattern recognition

Abstract

Artificial intelligence (AI) is revolutionizing many industries, grabbing the biggest headlines in self-driving cars, computer games, and particularly in healthcare. Its capability to digest vast amounts of raw data has immense transformative potential. In healthcare, where the volume and variety of data are both huge and complex, AI could have the biggest impact of any sector. Diagnosis and treatment plan selection in traditional healthcare are often based on a repertoire of disease patterns regardless of the underlying condition. Genomic and other high-dimensional data have now added to these complexities. AI can analyze the extensive raw data of thousands of genetic mutations quickly and precisely to accurately diagnose a patient and present tailored treatment options, something unfeasible by human standards. Vital for diseases such as cancer, rapid and accurate diagnosis dramatically affects patient prognosis. Of similar importance, such tailored treatment strategies from genomic data can directly affect costly ongoing medication. This is far removed from traditional blindsided approaches to disease instigation (Botlagunta, 2024; Kumar, et al., 2025).

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