人工智能是对人类智能的模拟和拓展。基于深度学习的人工智能可以很好地利用图像的内在特征，如轮廓、框架等，来分析图像。研究人员通常利用图像来诊断眼底病，因此将人工智能应用于眼底检查是有意义的。在眼科领域，人工智能通过分析光学相干断层扫描图像、眼底照片和超宽视野图像，已经在检测多种眼底疾病上取得了类似医生的性能。它也已经被广泛应用于疾病进展预测。然而，人工智能在眼科的应用也存在一些潜在的挑战，黑盒问题是其中之一。研究人员致力于开发更多的可解释的深度学习系统，并确认其临床可行性。人工智能在最流行的眼底病中的最新应用、可能遇到的挑战以及未来的道路将一一阐述。
Artificial intelligence (AI) is about simulating and expanding human intelligence. AI based on deep learning (DL) can analyze images well by using their inherent features, such as outlines, frames and so on. As researchers generally diagnoses ocular fundus diseases by images, it makes sense to apply AI to fundus examination. In ophthalmology, AI has achieved doctor-like performance in detecting multiple ocular fundus diseases through optical coherence tomography (OCT) images, fundus photographs, and ultra-wide-field (UWF) images. It has also been widely used in disease progression prediction. Nonetheless, there are also some potential challenges with AI application in ophthalmology, one of which is the black-box problem. Researchers are devoted to developing more interpretable deep learning systems (DLS) and confirming their clinical feasibility. This review describes a summary of the state-of-the-art AI application in the most popular ocular fundus diseases, potential challenges and the path forward.
剥脱综合征(exfoliation syndrome,XFS)以眼内异常纤维样物质沉积为特征，临床典型表现为裂隙灯下瞳孔缘和(或)晶状体前囊膜存在灰白色粉末状的剥脱物(exfoliation material,XFM)。XFM可阻塞小梁网引起剥脱性青光眼(exfoliaiton glaucoma,XFG)，并可通过房水循环进入血液，引起血管性损害。眼底病变视力损伤通常不可逆，XFM可进入眼底微血管及毛细血管，引起眼底结构和血管异常。基于光学相干断层成像技术的光学相干断层扫描(optical coherence tomography,OCT)及光学相干断层扫描血管成像(optical coherence tomography angiography,OCTA)以实时、非侵入性、高分辨率等优势，已广泛应用于眼底组织结构及血管病变检查。文章对XFS眼底病变在OCT和OCTA上的表现进行综述。
Exfoliation syndrome (XFS) was characterized by the abnormal deposition of the fber-like material intraocularly, and manifested as white or gray, powdery exfoliation material (XFM) on the pupillary border and (or) anterior lens capsule under slit lamp microscopy. XFM could obstruct the trabecular meshwork and cause exfoliation glaucoma (XFG). In addition, XFM that entered aqueous humor circulation could enter bloodstream and result in vascular damage. XFM could enter ocular fundus microvascular and capillary vessels, causing abnormalities of fundus structures and vessels. Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA), which were based on optical coherence tomography technology, had the advantages of real-time, non-intrusive and high resolution, et al. OCT and OCTA were widely used in detection of fundus structural and vascular abnormalities. Tis study was to review the fundus lesion of XFS on OCT and OCTA.
