Opportunities and Application Progress of Artificial Intelligence in the Field of Organoid
YOU Xiaoyu1,2#, LIN Kaijun1,2#, SUN Shenfei2,3, LIN Xinhua1,2,3*, JIANG Ning1,2*
Organoids, as three-dimensional in vitro models that mimic the structural and functional characteristics of human organs, have shown great potential in disease research and personalized medicine. However, their inherent structural complexity and large data volume pose challenges for traditional analysis methods, which are often inefficient, subjective, and labor-intensive. In recent years, AI (artificial intelligence) technologies have been widely applied across biomedical domains, including basic research, clinical diagnostics, and drug development, offering transformative opportunities for organoid-based studies. This review summarizes the current applications of AI in optimizing organoid construction, image analysis, drug screening, and multi-omics data integration, highlighting its advantages in improving research efficiency, accuracy, and reproducibility. Despite challenges such as the lack of data standardization and limited model interpretability, the integration of AI and organoid technologies is emerging as a critical pathway toward intelligent biomedical research and the advancement of precision medicine.
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