As artificial intelligence (AI) has been proposed to aid in the clinical management of leukemia, we sought to summarize the most relevant, current literature concerning this topic. PubMed was indexed from January 2022 to November 2025 using the search terms “artificial intelligence” AND “leukemia,” and 55 papers were deemed relevant and included in this review. We determined AI to be of clinical utility in 3 major areas of leukemia management: detection, risk stratification/treatment planning, and relapse surveillance/management. The application of AI in leukemia management is largely limited to diagnosis—the use of AI in leukemia risk stratification and treatment planning, and relapse detection is largely unexplored. AI has great potential to improve aspects of leukemia management. However, it is currently underutilized and primarily focused on initial diagnosis. The real power of AI lies in optimizing treatment intensity to reduce toxicity and the likelihood of relapse.
Runde et al. (Wed,) studied this question.