AUTHOR=Wu Dawen , Huang Xi , Chen Liang , Hou Peixian , Liu Longqian , Yang Guoyuan 

TITLE=Integrating artificial intelligence in strabismus management: current research landscape and future directions

JOURNAL=Experimental Biology and Medicine

VOLUME=249

YEAR=2024

URL=https://www.ebm-journal.org/journals/experimental-biology-and-medicine/articles/10.3389/ebm.2024.10320

DOI=10.3389/ebm.2024.10320

ISSN=1535-3699

ABSTRACT=<p>Advancements in artificial intelligence (AI) are transforming strabismus management through improved screening, diagnosis, and surgical planning. Deep learning has notably enhanced diagnostic accuracy and optimized surgical outcomes. Despite these advancements, challenges such as the underrepresentation of diverse strabismus types and reliance on single-source data remain prevalent. Emphasizing the need for inclusive AI systems, future research should focus on expanding AI capabilities with large model technologies, integrating multimodal data to bridge existing gaps, and developing integrated management platforms to better accommodate diverse patient demographics and clinical scenarios.</p>