基于人工智能技术的斜视诊疗进展

Progress in diagnosis and treatment of strabismus based on artificial intelligence technology

斜视是由于中枢管制失调、眼外肌力量失衡,导致双眼不能同时注视目标的一种眼病,通常在儿童期发病,可造成弱视、视功能损害、斜颈等发育不良和心理障碍。该病对患者、家庭乃至社会都会产生消极影响。早诊断、早治疗可避免造成视力和立体视的永久损害。然而,目前斜视的诊断高度依赖眼科医师专业检查,效率低、覆盖面小,而常规的入校筛查无法反映斜视度,且准确率低。因此如何提高斜视筛检效率是具有重要意义的热点问题。该文从人工智能技术发展的角度,基于近年来国内外的斜视诊疗现状,综述斜视领域中人工智能模型和算法的研究进展及不足,为进一步探索人工智能辅助的斜视诊疗前景提供参考。

Strabismus,misalignment of the eyes arising from central nervous system dysregulation and extraocular muscles imbalance,commonly manifests in childhood,leading to amblyopia,binocular vision dysfunction,torticollis and other developmental and psychological disorders.This exerts a negative impact on individuals,families and society.Timely diagnosis and intervention are crucial to prevent permanent damage to vision and stereopsis.Presently,strabismus diagnosis is reliant on the ophthalmologists'evaluations which results in a lack of efficiency and coverage.However,routine school screening proves inadequate in assessing strabismus degree with low accuracy.Therefore,how to improve the efficiency of strabismus screening is an issue of great importance.This paper delves into the present landscape of strabismus diagnosis and treatment,considering both local and global research advancements.It focuses on the evolution of artificial intelligence technology,illuminating the utilization of artificial intelligence models and algorithms in strabismus.By pinpointing and exploring their strengths and limitations,it offers valuable insights,paving the way for future investigations into artificial intelligence-assisted strabismus diagnosis and treatment.