Artificial Intelligence for Organoids Multidimensional Assessment
Yulin Mo, Jian Wang, Huijian Yang, Long Bai, Ke Xu, Jiacan Su
Abstract
ABSTRACT Organoids are tissue analogues formed through in vitro three‐dimensional culture of stem cells, possessing specific spatial structures. Organoids have become integral to various biomedical fields, including disease pathogenesis, model construction, regenerative and precision medicine, drug screening, tissue and organ development, toxicology, and pathological analysis. However, the diversity of organoid types and variations in their production processes have led to inconsistencies in their application for assessment and analysis. To date, no comprehensive standards or guidelines for evaluating organoids have been established. Artificial intelligence (AI) technology is extensively employed in biomedical image analysis, data processing, and molecular structure prediction, demonstrating benefits in the assessment of organoids. This review will examine the application of AI across various aspects of organoid assessment, such as omics, histology, morphology, functional properties, and drug screening, with the goal of offering new perspectives on organoid assessment.