Artificial intelligence in hematology: current trends and application areas.

Area of Science:

• Hematology
• Artificial Intelligence
• Medical Informatics

Background:

• Hematology research is increasingly leveraging advanced computational methods.
• Understanding current trends in Artificial Intelligence (AI) applications within hematology is crucial for future advancements.

Purpose of the Study:

• To map research trends, application areas, and thematic clusters of AI in hematology.
• To identify key institutions, countries, and keywords driving AI innovation in the field.

Main Methods:

• Bibliometric analysis of 376 original research articles from Web of Science (1980-2025).
• Utilized R Studio's bibliometrix package for trend keyword and factor analyses.
• Identified leading countries, institutions, and research themes.

Main Results:

• USA and China lead in AI-related hematology research; Harvard University is the top institution.
• Key research areas include thrombosis, stem cell transplantation, risk assessment, and sepsis.
• Emerging interests focus on transcriptomics, prediction modeling, and COVID-19 complications.

Conclusions:

• AI significantly improves diagnostic accuracy, prognostication, and personalized care in hematology.
• AI's data-driven and genomics-based innovations enhance clinical decision-making and patient outcomes.
• AI holds substantial potential for advancing hematologic disease management.