白内障是世界范围内致盲的主要原因之一，占中低收入国家致盲病例的50%。随着人口老龄化程度的加深，到2050年中国白内障致盲病例预计达到2 000万。卫生支出占比低、医疗设备及眼科医生紧缺、筛查费用昂贵仍是中低收入国家无法开展大规模白内障筛查的主要原因。人工智能(artificial intelligence，AI)协助白内障诊断具有便捷、低成本、可远程进行等优点，有望减少甚至避免白内障致盲的发生。文章将对AI通过结合裂隙灯眼前节图像、眼底照片及扫频源光学相干层析图像进行白内障自动诊断等研究进行简要综述。

Cataract is a primary cause of blindness globally, particularly accounting for 50% of blindness cases in low- and middle- income countries. As the population ages, it is predicated that cataract blindness cases in China will rise to 20 million by 2050. However, low health expenditures, scarcity of medical equipment and ophthalmologists, and high screening costs continue to hinder mass cataract screening in these countries. Artificial intelligence(AI)-assisted cataract diagnosis offers significant advantages, including convenience, cost-effectiveness, and remote accessibility, potentially reducing or even eliminating cataract blindness. This review aims to concisely summarize the research on automatic cataract diagnosis utilizing AI, incorporating slit lamp images of anterior eye segment, fundus photographs, and swept source optical coherence tomography images.

目的：在硅油取出联合白内障手术患者中，使用扫频源光学相干断层扫描生物测量仪OA-2000进行生物测量，比较10种人工晶状体(IOL)屈光力计算公式的准确性。方法：回顾性分析2021年3月—7月于中山大学中山眼科中心接受硅油取出联合白内障手术的患者共62例(62眼)，所有患者均使用扫频源光学相干断层扫描生物测量仪OA-2000进行生物学参数测量。计算并比较新公式[Barrett Universal II (BUII)、Emmetropia Verifying Optical(EVO) 2.0、Hill-Radial Basis Function (Hill-RBF) 3.0、Hoffer QST、Kane、Pearl-DGS]及传统公式(Haigis、Hoffer Q、Holladay 1、SRK/T)的预测准确性，主要评价指标为绝对预测误差中位数(MedAE)及平均绝对预测误差(MAE)。按眼轴长度≤23 mm(组1)，>23 mm且≤26 mm(组2)与>26 mm(组3)进行亚组分析。结果：6个新公式、Haigis、SRK/T公式均出现近视漂移(-0.47 ~-0.27 D，P<0.05)，而HofferQ及Holladay 1公式无系统误差(P>0.05)。Kane公式的MedAE(0.55 D)及MAE(0.81 D)最小，但公式间比较差异无统计学意义(P>0.05)。组1中所有公式均出现近视漂移(-1.46~ -1.25 D，P<0.05)，而其他亚组比较差异无统计学意义(-0.32 ~ 0.41 D，P>0.05)。在组1中，Pearl-DGS公式的MedAE(0.97 D)及MAE(1.26 D)最小，且优于Hill-RBF 3.0(P=0.01)及SRK/T公式(P=0.02)；组2中，Kane公式具有最小的MedAE(0.44 D)及MAE(0.66 D)；组3各个公式屈光预测准确性比较差异无统计学意义(P>0.05)。结论：在使用OA-2000进行术前生物测量时，Kane公式在接受硅油取出联合白内障手术患者中的预测准确性较高；而眼轴长度≤23 mm时，Pearl-DGS公式可能更为准确。

Objective: To compare the accuracy of 10 intraocular lens (IOL) power calculation formulas in patients undergoing combined silicone oil removal and cataract surgery, biometry is performed using the swept-source optical coherence tomography biometer OA-2000. Methods: A retrospective analysis. A total of 62 patients (62 eyes) who underwent combined silicone oil removal and cataract surgery in Zhongshan Ophthalmic Center, Sun Yat-sen University from March to July in 2021 were enrolled. Preoperative biometry was performed by OA-2000 in all patients. New-generation formulas (Barrett Universal II [BUII], Emmetropia Verifying Optical [EVO] 2.0, Hill-Radial Basis Function [Hill-RBF] 3.0, Hoffer QST, Kane and Pearl-DGS) and traditional formulas (Haigis, Hoffer Q, Holladay 1 and SRK/T) were evaluated. The median absolute prediction error (MedAE) and mean absolute prediction error (MAE) were the main parameters used to assess accuracy. Subgroup analyses were performed based on the axial length of 23 mm and 26 mm. Results: Six new-generation formulas, Haigis, and SRK/T showed myopic shift (-0.47 ~ -0.27 D, P<0.05), while no systematic bias was found in Hoffer Q and Holladay 1 displayed (P>0.05). The smallest MedAE (0.55 D) and MAE (0.81 D) were found in Kane formula, but there was no statistically significant difference compared with other formulas (P>0.05). The myopic shift (-1.46 ~ -1.25 D, P<0.05) in eyes shorter than 23 mm were found in all formulas, while there was no significant systematic bias (-0.32 ~ 0.41 D, P>0.05) in other subgroups. In axial length shorter than 23 mm, the Pearl-DGS formula stated the smallest MedAE (0.97 D) and MAE (1.26 D), and was significantly more accurate than Hill-RBF 3.0 (P=0.01) and SRK/T (P=0.02). In eyes with an axial length between 23 mm and 26 mm, the Kane formula had the lowest MedAE (0.44 D) and MAE (0.66 D). No significant difference was found in eyes longer than 26 mm. Conclusion: The Kane formula showed the highest accuracy in patients undergoing combined silicone oil removal and cataract surgery measured by OA-2000, whereas the Pearl-DGS formula could be more accurate in eyes with an axial length shorter than 23 mm.

准分子激光原位角膜磨镶术(laser-assisted in situ keratomileusis,LASIK)是矫正屈光不正的重要角膜屈光手术方式之一。经过准分子激光切削的角膜，生物测量数据发生改变。对于此类患者，通过常规测量获得的参数数据以及使用常规计算公式确定的IOL屈光度将变得不再准确，由此将会导致术后较大的屈光误差，进而影响患者的视觉质量。本文报道一例46岁的男性白内障患者。该患者既往双眼屈光不正，曾接受过LASIK手术治疗。白内障术前角膜地形图检查发现该患者双眼存在角膜偏心切削，这为IOL屈光度的确定带来困难。手术医生通过角膜地形图判断角膜切削的居中性，在特定区域内选择角膜曲率K值，并采用Barrett True K公式计算出IOL屈光度。白内障术后患眼屈光误差相对较小，视力提高，视觉质量改善。

Laser-assisted in situ keratomileusis (LASIK) is a crucial corneal refractive surgery for correcting refractive errors. The cornea, after undergoing excimer laser ablation, undergoes changes in biometric measurements. For such patients, conventional measurements and IOL power calculations based on standard formulas may no longer be accurate, leading  to significant postoperative refractive errors and subsequently impacting the patient's visual quality. This article presents a case of a 46-year-old male cataract patient who had a history of refractive errors in both eyes and had previously undergone LASIK surgery. Preoperative corneal topography revealed corneal eccentric ablation in both eyes, posing challenges in determining IOL power. The surgeon assessed the centration of corneal ablation using corneal topography, selected the keratometry value (K value) within specific corneal regions, and calculated the IOL power using the Barrett True K formula. Postoperatively, the cataract patient experienced relatively minor refractive errors, leading to improved vision and enhanced visual quality.

目的：建立和验证一个涉及多级临床场景的白内障协作通用的人工智能(artificial intelligence,AI)管理平台，探索基于AI的医疗转诊模式，以提高协作效率和资源覆盖率。方法：训练和验证的数据集来自中国AI医学联盟，涵盖多级医疗机构和采集模式。使用三步策略对数据集进行标记: 1)识别采集模式；2)白内障诊断包括正常晶体眼、白内障眼或白内障术后眼；3)从病因和严重程度检测需转诊的白内障患者。此外，将白内障AI系统与真实世界中的居家自我监测、初级医疗保健机构和专科医院等多级转诊模式相结合。结果：通用AI平台和多级协作模式在三步任务中表现出可靠的诊断性能: 1)识别采集模式的受试者操作特征(receiver operating characteristic curve,ROC)曲线下面积(area under the curve,AUC)为99.28%~99.71%)；2)白内障诊断对正常晶体眼、白内障或术后眼，在散瞳-裂隙灯模式下的AUC分别为99.82%、99.96%和99.93%，其他采集模式的AUC均 > 99%；3)需转诊白内障的检测(在所有测试中AUC >91%)。在真实世界的三级转诊模式中，该系统建议30.3%的人转诊，与传统模式相比，眼科医生与人群服务比率大幅提高了10.2倍。结论：通用AI平台和多级协作模式显示了准确的白内障诊断性能和有效的白内障转诊服务。建议AI的医疗转诊模式扩展应用到其他常见疾病和资源密集型情景当中。

Objective: To establish and validate a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multilevel clinical scenarios and explored an AI-based medical referral pattern to improve collaborative efficiency and resource coverage. Methods: The training and validation datasets were derived from the Chinese Medical Alliance for Artificial Intelligence, covering multilevel healthcare facilities and capture modes. The datasets were labelled using a three step strategy: (1)capture mode recognition; (2) cataract diagnosis as a normal lens, cataract or a postoperative eye and (3) detection of referable cataracts with respect to aetiology and severity. Moreover, we integrated the cataract AI agent with a real-world multilevel referral pattern involving self-monitoring at home, primary healthcare and specialised hospital services. Results: The universal AI platform and multilevel collaborative pattern showed robust diagnostic performance in three-step tasks: (1) capture mode recognition (area under the curve (AUC) 99.28%–99.71%), (2) cataract diagnosis (normal lens, cataract or postoperative eye with AUCs of 99.82%, 99.96% and 99.93% for mydriatic-slit lamp mode and AUCs >99% for other capture modes) and (3)detection of referable cataracts (AUCs >91% in all tests). In the real-world tertiary referral pattern, the agent suggested 30.3%  of people be ’referred’, substantially increasing the ophthalmologist-to-population service ratio by 10.2-fold compared with the traditional pattern. Conclusions: The universal AI platform and multilevel collaborative pattern showed robust diagnostic performance and effective service for cataracts. The context of our AI-based medical referral pattern will be extended to other common disease conditions and resource-intensive situations.

目的: 分析高度近视眼行白内障摘除及后房型人工晶状体植入术后并发裂孔源性视网膜脱离的发生率、相关危险因素及临床特点。

方法 : 回顾性分析高度近视眼行白内障摘除及后房型人工晶状体植入术患者 146 例(232 只眼) 。裂孔源性视网膜脱离在术后随访的3年时间发生。所有眼均进行了详细的眼科检查, 包括: 最佳矫正视力、眼底检查、A 超眼轴长度测量。

结果: 15 只眼发生裂孔源性视网膜脱离(6.4%) , 均需行玻璃体视网膜手术进行视网膜复位。从白内障手术到发生视网膜脱离的平均时间为10 ± 9 个月(0.5～32 个月) 。视网膜脱离经手术治疗后视力为手动 /10 cm～0.06, 12 只眼(80%) 最终视力低于白内障术前。术中后囊膜破裂与术后视网膜脱离的发生显著相关 (P < 0.01) , 60%(9/15) 的视网膜脱离患者术中发生了后囊膜破裂。

结论: 高度近视眼白内障术后并发裂孔源性视网膜脱离的发生率为 6.4%, 其预后差。术中发生后囊膜破裂患者术后发生视网膜脱离的危险性更高, 对术中后囊膜破裂患者需密切随访。

Aim: To analyze the clinical characteristics, incidence and risk of retinal detachment (RD) after cataract surgery and posterior chamber intraocular lens implantation in high myopic patients.

Methods:The medical records of 146 high myopic patients (232 eyes) who underwent cataract surgery and posterior chamber intraocular lens implantation were studied retrospectively. The development of RD was followed up over a 3-year period, and its characteristics were determined. All of the eyes received a comprehensive ophthal-mological examination, including best-corrected visual acuity measurements, a dilated fundus examination and axial length measured by A-scan ultrasonography.

Results: RD developed in 15 eyes of 15 patients. All the 15 eyes needed vitreo-retinal surgery. The mean interval between cataract surgery and the development of RD was 10 ± 9 months (range 0.5～32 months) . The visual results of the eyes after anatomical successful vitreo-retinal surgery ranged from finger count /10 cm to 0.06. 80% (12/15) of the eyes had a worse vision after the surgery than that before cataract surgery. Posterior capsular tear were associated significantly with RD (P < 0.01). Approximately 60%( 9/15) of retinal detachment was attributable to posterior capsule tear during cataract surgery.

Conclusion: Incidence of RD in high myopic patients after cataract surgery was 6.4%. RD was the potentially serious complication and tended to develop more frequently in eyes with posterior capsular rupture during cataract surgery. It is crucial to examine retinal status after cataract surgery and to have a close follow-up to prevent retinal complications, especially for patients with posterior capsular disruption. 

前段巨眼(anterior megalophthalmos, AM)是一种罕见的双侧非进展性先天性眼前段扩大疾病，表现为大角膜、角膜厚度正常或轻中度变薄、前房明显加深、睫状环扩大和悬韧带松弛。早期症状可仅表现为角膜散光和屈光不正等，并发性白内障和晶状体脱位是AM患者视力下降的主要原因。眼前段解剖结构的异常使AM患者的白内障手术具有很大的挑战性。首先，极端前房深度引起的有效晶状体位置(ELP)预测误差及公式选择不当是导致其术后较大屈光误差的主要原因；其次，悬韧带松弛易导致晶状体脱位、后囊膜破裂和玻璃体脱出等术中并发症的发生；由于超大囊袋及悬韧带松弛，人工晶状体(IOL)偏心甚至脱位也是术后常见的并发症。因此，需根据患者悬韧带情况、晶状体混浊程度采取合适的手术方式及谨慎选择IOL的类型。采用手法小切口晶状体囊外摘除术，可避免超声乳化的高灌注压对悬韧带的进一步损伤，增加手术的安全性；植入光学面及襻宽大的IOL术后具有较好的稳定性；新公式如Barrett Universal Ⅱ、Kane和EVO等公式具有较好的屈光预测准确性。然而，目前关于AM患者的白内障手术治疗报道仍属于个案报道，未来还需要更大样本量的临床研究进一步证实。

前段巨眼(anterior megalophthalmos, AM)是一种罕见的双侧非进展性先天性眼前段扩大疾病，表现为大角膜、角膜厚度正常或轻中度变薄、前房明显加深、睫状环扩大和悬韧带松弛。早期症状可仅表现为角膜散光和屈光不正等，并发性白内障和晶状体脱位是AM患者视力下降的主要原因。眼前段解剖结构的异常使AM患者的白内障手术具有很大的挑战性。首先，极端前房深度引起的有效晶状体位置(ELP)预测误差及公式选择不当是导致其术后较大屈光误差的主要原因；其次，悬韧带松弛易导致晶状体脱位、后囊膜破裂和玻璃体脱出等术中并发症的发生；由于超大囊袋及悬韧带松弛，人工晶状体(IOL)偏心甚至脱位也是术后常见的并发症。因此，需根据患者悬韧带情况、晶状体混浊程度采取合适的手术方式及谨慎选择IOL的类型。采用手法小切口晶状体囊外摘除术，可避免超声乳化的高灌注压对悬韧带的进一步损伤，增加手术的安全性；植入光学面及襻宽大的IOL术后具有较好的稳定性；新公式如Barrett Universal Ⅱ、Kane和EVO等公式具有较好的屈光预测准确性。然而，目前关于AM患者的白内障手术治疗报道仍属于个案报道，未来还需要更大样本量的临床研究进一步证实。

目的：探讨县级基层医院白内障患者术前焦虑情况，以便改善护理流程。方法：本研究为回顾性研究，收集河源光明眼科医院2017年1至9月2 182例行白内障复明手术患者的术前焦虑视觉模拟量表(The Anxiety Visual Analogue Scale，VAS-A)评分及阿姆斯特丹术前焦虑与信息需求表(Amsterdam Preoperative Anxiety and Information Scale，APAIS)评分，采用t检验和Spearman相关性检验进行术前焦虑情况分析。结果：2 182例白内障手术患者VAS-A焦虑评分为4.74±1.93，APAIS焦虑评分为6.46±1.66，男性患者术前焦虑程度低于女性患者，患者术前焦虑程度与年龄呈低度负相关。结论：两种术前焦虑评分均能反映患者术前焦虑程度，可根据其对麻醉或手术信息需求度的不同选择相应的护理对策，以缓解患者术前焦虑，改善护理质量。

Objective: To investigate the preoperative anxiety in patients with cataract in a township hospital. Methods: A retrospective study was conducted on preoperative anxiety of 2 182 patients with cataract according to the Anxiety Visual Analogue Scale (VAS-A) and Amsterdam Preoperative Anxiety and Information Scale (APAIS) from Jan 1, 2017 to Sep 30, 2017 in Heyuan Guangming Eye Hospital. Student’s t-test and Spearman correlation were used to evaluate the preoperative anxiety. Results: The score of preoperative anxiety was 4.74±1.93 with the VAS-A and was 6.46±1.66 with the APAIS. The preoperative anxiety in male was lower than that in female, and the degree of the preoperative anxiety was negatively correlated with age. Conclusion:The preoperative anxiety of patients with cataract can be properly evaluated using either the VAS-A or the APAIS.The nursing care should be adjusted corresponding to patients’ different needs of the information about anesthesia and surgery in order to alleviate the preoperative anxiety and improve the nursing care.

先天性白内障是严重影响婴幼儿视功能的疾病。随着白内障手术和人工晶状体植入手术技术的发展，先天性白内障患者术后多可获得高质量的视觉康复。然而，如何更好防治手术相关的不良事件和并发症、先天性白内障伴随的其他眼部发育不良疾病的治疗以及形觉剥夺性弱视的治疗，仍然是先天性白内障手术后需要重视的临床问题。

      封面展示的是双眼先天性白内障术后继发青光眼(左眼)与正常眼(右眼)的对比示意图。该并发症起病隐匿、难以预测，是先天性白内障术后二次致盲的首要原因。针对这一术后并发症，美国婴儿无晶状体眼治疗研究组 (infant aphakia treatment study, IATS)将儿童白内障术后青光眼相关不良事件(glaucoma-related adverse events,GRAEs，包括了青光眼和可疑青光眼)定义为：1)青光眼：眼压>21 mmHg(1 mmHg=0.133 kPa)，且有以下一种或以上的解剖学改变：(a)角膜直径增加；(b)双眼不对称进行性近视漂移伴角膜直径和(或)眼轴的增加；(c)视杯直径进行性增大，杯盘比增加≥0.2；(d)必须进行手术才能控制眼压。2)可疑青光眼：停用局部糖皮质激素(激素)后连续2次眼压>21 mmHg，或可通过抗青光眼药物控制眼压，但无上述任何青光眼的解剖改变。所以，如何更精准地预防该术后并发症，防止对患儿视功能造成进一步的损害，是目前关键的临床问题。

       因此，文章对先天性白内障摘除及人工晶状体植入术后继发性青光眼和可疑青光眼的发生、相关危险因素、治疗和预防的手段进行总结，以期进一步提高对先天性白内障术后高眼压和青光眼防治的认识，减少术后并发症对患儿视功能造成的进一步损害。

先天性白内障是严重影响婴幼儿视功能的疾病。随着白内障手术和人工晶状体植入手术技术的发展，先天性白内障患者术后多可获得高质量的视觉康复。然而，如何更好防治手术相关的不良事件和并发症、先天性白内障伴随的其他眼部发育不良疾病的治疗以及形觉剥夺性弱视的治疗，仍然是先天性白内障手术后需要重视的临床问题。

      封面展示的是双眼先天性白内障术后继发青光眼(左眼)与正常眼(右眼)的对比示意图。该并发症起病隐匿、难以预测，是先天性白内障术后二次致盲的首要原因。针对这一术后并发症，美国婴儿无晶状体眼治疗研究组 (infant aphakia treatment study, IATS)将儿童白内障术后青光眼相关不良事件(glaucoma-related adverse events,GRAEs，包括了青光眼和可疑青光眼)定义为：1)青光眼：眼压>21 mmHg(1 mmHg=0.133 kPa)，且有以下一种或以上的解剖学改变：(a)角膜直径增加；(b)双眼不对称进行性近视漂移伴角膜直径和(或)眼轴的增加；(c)视杯直径进行性增大，杯盘比增加≥0.2；(d)必须进行手术才能控制眼压。2)可疑青光眼：停用局部糖皮质激素(激素)后连续2次眼压>21 mmHg，或可通过抗青光眼药物控制眼压，但无上述任何青光眼的解剖改变。所以，如何更精准地预防该术后并发症，防止对患儿视功能造成进一步的损害，是目前关键的临床问题。

       因此，文章对先天性白内障摘除及人工晶状体植入术后继发性青光眼和可疑青光眼的发生、相关危险因素、治疗和预防的手段进行总结，以期进一步提高对先天性白内障术后高眼压和青光眼防治的认识，减少术后并发症对患儿视功能造成的进一步损害。

先天性白内障是严重影响婴幼儿视功能的疾病。随着白内障手术和人工晶体植入手术技术的发展，先天性白内障患者术后多可获得高质量的视觉康复。然而，如何更好防治手术相关的不良事件和并发症、先天性白内障伴随的其他眼部发育不良疾病的治疗以及形觉剥夺性弱视的治疗，仍然是先天性白内障手术后需要重视的临床问题。文章对先天性白内障摘除及人工晶体植入术后高眼压和继发性青光眼的发生、相关危险因素、治疗和预防的手段进行总结，以期进一步提高对先天性白内障术后高眼压和青光眼防治的认识，减少术后并发症对视功能造成的进一步损害。

Congenital cataract is a significant condition that profoundly impacts the visual function of infants and young children. Advancements in cataract surgery and intraocular lens implantation have enabled the achievement of high-quality visual rehabilitation after congenital cataract surgery. Nevertheless, effective prevention and treatment of surgery-related adverse events and complications, as well as managing other ocular dysplasia and form deprivation amblyopia that may arise in conjunction with the surgery, continue to pose important clinical challenges following congenital cataract surgery. This article provides a comprehensive overview of the occurrence, risk factors, treatment and prevention of high intraocular pressure and secondary glaucoma after congenital cataract and intraocular lens implantation. Its aim is to enhance the comprehension of preventive and therapeutic measures for high intraocular pressure and glaucoma after congenital cataract surgery, thereby minimizing potential postoperative complications and preserving visual function.

目的：比较单一EYESi虚拟手术模拟器(Dry-lab)、Wet-lab以及两种方式联合教学在超声乳化白内障吸除显微手术培训中的效果及差异，以期探索更科学高效的教学方式。方法：选取中山大学中山眼科中心接受住院医师规范化培训的1年级住院医师18名，随机分为Dry-lab组、Wet-lab组和联合组，每组各6人，分别接受8次有效Dry-lab训练、8次Wet-lab训练、4次有效Dry-lab训练联合4次Wet-lab训练。培训前后问卷调查评估三种教学方式的模拟效果与学员满意度，并在猪眼模型上考核超声乳化白内障吸除手术的三个主要步骤，以评估学员的培训效果。结果：Dry-lab与Wet-lab训练均能有效帮助学员学习使用显微器械，操作手感较好。但在立体感(P=0.007)、与人眼操作相比近似度(P<0.001)以及对掌握技术的帮助度(P=0.003)上，Wet-lab优于Dry-lab训练；而在缩短培训用时(P<0.001)上，Dry-lab培训更具优势。联合培训模式培训效果优于单一Wet-lab训练(P=0.014)和模拟器培训(P=0.012)，整体满意度高于Wet-lab训练(P=0.042)和Dry-lab培训(P=0.042)。结论：Dry-lab与Wet-lab训练在超声乳化白内障吸除显微手术培训中各有优势，而两者相结合的教学模式更为高效，培训效果更佳，整体满意度高。

Objective: To compare the effects and distinctions among three methods of phacoemulsification training: EYESi simulator (Dry-lab), Wet-lab, and a combined approach, in order to find out more scientific and efficient teaching method. Methods: 18 first-year residents undergoing residency training at Zhongshan Ophthalmic Center, Sun Yatsen University were randomly assigned to three groups: Dry-lab, Wet-lab, and Combined. Each group, consisting of 6 individuals, underwent a specific training regimen—8 sessions of effective simulator training for the Dry-lab group, 8 Wet-lab sessions for the Wet-lab group, and a combination of 4 effective simulator sessions with 4 Wet-lab sessions for the Combined group. The questionnaires were administered to assess simulation effects and student satisfaction before and after each training sessions. Additionally, the training effects were recorded in the three main steps of phacoemulsification cataract extraction surgery on a pig eye model. Results: Both the EYESi simulator and Wet-lab were proved to be effective in facilitating the learning of microscopic instrument use with commendable operating experience. However, Wet-lab is superior to the virtual simulator in terms of stereoscopic sensation (P=0.007), similarity to the human eye (P<0.001), and assistance in mastering techniques(P=0.003). Simulator training is found to be more advantageous in shortening the overall training time (P<0.001). The training effect of the joint training mode is better than that of single Wet-lab training (P=0.014) and simulator training (P=0.012), and the overall satisfaction is higher than that of Wet-lab training (P=0.042) and simulator training (P=0.042). Conclusion: The EYESi virtual surgery simulator and Wet-lab training have their advantages respectively in training for phacoemulsification cataract extraction microsurgery, and the combined teaching mode is more efficient, with better training effects and overall satisfaction.