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Management of vitreous floaters: a review. 玻璃体漂浮物的处理:综述。
IF 3 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2024-09-01 Epub Date: 2024-07-11 DOI: 10.1097/ICU.0000000000001075
Alexis Ivan Aleman, Lauren Kiryakoza, Jayanth Sridhar, Jesse Sengillo

Purpose of review: Vitreous floaters, characterized by the perception of spots or shadows in the visual field, commonly result from posterior vitreous detachment and can cause chronic symptoms in affected patients. The diagnosis of posterior vitreous detachment is typically determined clinically and can sometimes be confirmed with optical coherence topography (OCT) [1 ▪▪ ] . The objective of this review is to review management options for symptomatic vitreous floaters.

Recent findings: Symptoms of vitreous floaters may be mild or may significantly affect patient quality of life. Observation is the most common management strategy. Procedural management options include pars plana vitrectomy (PPV) and neodymium-doped yttrium aluminium garnet (Nd:YAG) vitreolysis. PPV is considered the most definitive management option for vitreous floaters. PPV, however, carries inherent risks, notably infection, cataract formation, and retinal detachment [2] . Nd:YAG laser vitreolysis is a less invasive alternative with studies demonstrating varied success [1 ▪▪ ,3,4] .

Summary: This review provides insights into the current state of knowledge regarding the management of vitreous floaters and can guide clinical decision-making.

综述的目的:玻璃体漂浮物的特征是视野中出现斑点或阴影,常见于玻璃体后脱离,可导致患者出现慢性症状。玻璃体后脱离的诊断通常由临床确定,有时可通过光学相干地形图(OCT)确诊[1▪▪]。本综述旨在回顾无症状玻璃体漂浮物的治疗方案:玻璃体漂浮物的症状可能很轻微,也可能严重影响患者的生活质量。观察是最常见的治疗策略。手术治疗方案包括玻璃体旁切除术(PPV)和掺钕钇铝石榴石(Nd:YAG)玻璃体溶解术。PPV被认为是玻璃体漂浮物最彻底的治疗方案。然而,PPV 也存在固有的风险,尤其是感染、白内障形成和视网膜脱离[2]。Nd:YAG 激光玻璃体溶解术是一种创伤较小的替代方法,研究显示其成功率不尽相同[1▪▪,3,4]。摘要:本综述深入介绍了有关玻璃体漂浮物治疗的知识现状,可为临床决策提供指导。
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引用次数: 0
Vision of the future: large language models in ophthalmology. 未来愿景:眼科大语言模型。
IF 3 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2024-09-01 Epub Date: 2024-05-30 DOI: 10.1097/ICU.0000000000001062
Prashant D Tailor, Haley S D'Souza, Hanzhou Li, Matthew R Starr

Purpose of review: Large language models (LLMs) are rapidly entering the landscape of medicine in areas from patient interaction to clinical decision-making. This review discusses the evolving role of LLMs in ophthalmology, focusing on their current applications and future potential in enhancing ophthalmic care.

Recent findings: LLMs in ophthalmology have demonstrated potential in improving patient communication and aiding preliminary diagnostics because of their ability to process complex language and generate human-like domain-specific interactions. However, some studies have shown potential for harm and there have been no prospective real-world studies evaluating the safety and efficacy of LLMs in practice.

Summary: While current applications are largely theoretical and require rigorous safety testing before implementation, LLMs exhibit promise in augmenting patient care quality and efficiency. Challenges such as data privacy and user acceptance must be overcome before LLMs can be fully integrated into clinical practice.

综述的目的:大型语言模型(LLM)正迅速进入医学领域,从患者互动到临床决策。这篇综述讨论了大型语言模型在眼科中不断发展的作用,重点关注其当前的应用以及未来在加强眼科护理方面的潜力:最近的研究结果:由于 LLMs 能够处理复杂的语言并产生类似于人类的特定领域互动,因此它们在眼科领域已显示出改善患者沟通和辅助初步诊断的潜力。总结:虽然目前的应用在很大程度上还停留在理论阶段,并且在实施前需要进行严格的安全测试,但 LLMs 在提高病人护理质量和效率方面展现出了前景。在将 LLMs 完全融入临床实践之前,必须克服数据隐私和用户接受度等挑战。
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引用次数: 0
Ocular manifestations of mpox. 麻疹的眼部表现。
IF 3 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2024-09-01 Epub Date: 2024-06-06 DOI: 10.1097/ICU.0000000000001066
Minh Nguyen, Thuy Doan, Gerami D Seitzman

Purpose of review: To highlight the clinical features of mpox with an emphasis on ocular manifestations and to review treatment options for this re-emerging infectious disease.

Recent findings: Ocular involvement of mpox varies by clade. The most recent 2022 outbreak appears to be associated with fewer conjunctivitis cases compared to previous outbreaks. However, the ocular findings occurring during this newly emerging clade can be visually threatening and include cases of keratitis, rapidly progressing scleritis, and necrotizing periorbital rashes.

Summary: Ocular mpox is an important clinical feature of systemic mpox virus (MPXV) infection. Heightened clinical suspicion allows for a timely diagnosis and the initiation of antiviral treatment, when appropriate. Randomized clinical trials for mpox systemic and ocular treatment efficacy are lacking. Prior clinical experience with smallpox and in-vitro mpox data support the use of systemic antivirals such as tecovirimat, cidofovir, brincidofovir and topical use of trifluridine in ocular mpox management, though treatment-resistant infection can occur and portend a poor prognosis.

综述的目的:强调天花的临床特征,重点是眼部表现,并回顾这种重新出现的传染病的治疗方案:最新发现:水痘的眼部受累情况因支系而异。与之前的疫情相比,最近 2022 年的疫情似乎与较少的结膜炎病例有关。然而,在这一新出现的支系中出现的眼部病变可能会对视觉造成威胁,包括角膜炎、快速进展的巩膜炎和口周坏死性皮疹。加强临床怀疑有助于及时诊断并在适当时开始抗病毒治疗。目前还缺乏针对天花病毒全身和眼部治疗效果的随机临床试验。之前的天花临床经验和体外水痘数据支持在眼部水痘治疗中使用特考韦马特、西多福韦、布林昔多福韦等全身性抗病毒药物,以及局部使用曲氟尿苷,但可能会出现耐药性感染,预示着不良的预后。
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引用次数: 0
Emerging alternatives to keratoplasty for corneal endothelial cell dysfunction. 角膜内皮细胞功能障碍角膜移植术的新替代方案。
IF 3 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2024-09-01 Epub Date: 2024-06-26 DOI: 10.1097/ICU.0000000000001071
Ron Kaufman, Albert S Jun

Purpose of review: While effective for treating endothelial dysfunction, keratoplasty has shortcomings including limited access to donor tissue for much of the world. Thus, alternative strategies are under development. This review explores the main advancements achieved in this field during 2022-2023.

Recent findings: Recent publications further support the validity of intracameral cultivated allogeneic endothelial cell injection and Descemet stripping only, while emphasizing the benefits of adjunctive Rho-associated kinase inhibitor (ROCKi) therapy. New donor-independent artificial implants, such as EndoArt, show favorable results. Multiple pharmacologic agents, especially ROCKi, show promise as monotherapies, yet none are currently approved for human treatment. Multiple regenerative and genetic therapies are being investigated but all are still in preclinical stages.

Summary: A plethora of innovative alternatives to keratoplasty for endothelial disease is in development. Among these, surgical methods are still the mainstay of treatment and closest to clinical application, though further studies to establish their benefits over keratoplasty are needed. Albeit promising, pharmacologic, regenerative, and genetic approaches require validation and are farther from clinical application.

审查目的:角膜移植术虽然能有效治疗内皮功能障碍,但也有不足之处,包括世界上大部分地区获得供体组织的途径有限。因此,替代策略正在开发中。本综述探讨了 2022-2023 年期间该领域取得的主要进展:近期发表的论文进一步支持了巩膜内培养异体内皮细胞注射和仅进行Descemet剥离的有效性,同时强调了Rho相关激酶抑制剂(ROCKi)辅助疗法的益处。新的不依赖供体的人工植入物,如 EndoArt,显示出良好的效果。多种药物,尤其是 ROCKi,显示出作为单一疗法的前景,但目前还没有一种药物被批准用于人类治疗。多种再生疗法和基因疗法正在研究中,但所有疗法都还处于临床前阶段。摘要:目前正在开发大量替代角膜移植术治疗内皮疾病的创新方法。其中,手术方法仍是治疗的主流,也最接近临床应用,但仍需进一步研究以确定其与角膜移植术相比的优势。药物、再生和遗传方法虽然前景广阔,但还需要验证,离临床应用还很遥远。
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引用次数: 0
Challenges and controversies in ophthalmology in 2024. 2024 年眼科领域的挑战和争议。
IF 3 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2024-09-01 Epub Date: 2024-08-08 DOI: 10.1097/ICU.0000000000001073
Avni P Finn, Jayanth Sridhar
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引用次数: 0
Deep learning aided measurement of outer retinal layer metrics as biomarkers for inherited retinal degenerations: opportunities and challenges. 深度学习辅助测量视网膜外层指标作为遗传性视网膜变性的生物标记:机遇与挑战。
IF 3.7 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2024-08-29 DOI: 10.1097/icu.0000000000001088
Mark E Pennesi,Yi-Zhong Wang,David G Birch
PURPOSE OF REVIEWThe purpose of this review was to provide a summary of currently available retinal imaging and visual function testing methods for assessing inherited retinal degenerations (IRDs), with the emphasis on the application of deep learning (DL) approaches to assist the determination of structural biomarkers for IRDs.RECENT FINDINGS(clinical trials for IRDs; discover effective biomarkers as endpoints; DL applications in processing retinal images to detect disease-related structural changes).SUMMARYAssessing photoreceptor loss is a direct way to evaluate IRDs. Outer retinal layer structures, including outer nuclear layer, ellipsoid zone, photoreceptor outer segment, RPE, are potential structural biomarkers for IRDs. More work may be needed on structure and function relationship.
综述评估光感受器缺失是评估遗传性视网膜变性(IRDs)的一种直接方法。评估光感受器缺失是评估遗传性视网膜变性(IRDs)的一种直接方法。视网膜外层结构,包括核外层、椭圆形区、感光体外节段和RPE,是IRD的潜在结构生物标志物。关于结构与功能的关系,可能还需要做更多的工作。
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引用次数: 0
Artificial intelligence applications in cataract and refractive surgeries. 人工智能在白内障和屈光手术中的应用。
IF 3.7 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2024-08-28 DOI: 10.1097/icu.0000000000001090
Radhika Rampat,Guillaume Debellemanière,Damien Gatinel,Darren S J Ting
PURPOSE OF REVIEWThis review highlights the recent advancements in the applications of artificial intelligence within the field of cataract and refractive surgeries. Given the rapid evolution of artificial intelligence technologies, it is essential to provide an updated overview of the significant strides and emerging trends in this field.RECENT FINDINGSKey themes include artificial intelligence-assisted diagnostics and intraoperative support, image analysis for anterior segment surgeries, development of artificial intelligence-based diagnostic scores and calculators for early disease detection and treatment planning, and integration of generative artificial intelligence for patient education and postoperative monitoring.SUMMARYThe impact of artificial intelligence on cataract and refractive surgeries is becoming increasingly evident through improved diagnostic accuracy, enhanced patient education, and streamlined clinical workflows. These advancements hold significant implications for clinical practice, promising more personalized patient care and facilitating early disease detection and intervention. Equally, the review also highlights the fact that only some of this work reaches the clinical stage, successful integration of which may benefit from our focus.
综述目的 本综述重点介绍了人工智能在白内障和屈光手术领域应用的最新进展。鉴于人工智能技术的飞速发展,有必要对这一领域的重大进展和新兴趋势提供最新概述。关键主题包括人工智能辅助诊断和术中支持、用于眼前节手术的图像分析、用于早期疾病检测和治疗规划的人工智能诊断评分和计算器的开发,以及用于患者教育和术后监测的人工智能生成集成。摘要通过提高诊断准确性、加强患者教育和简化临床工作流程,人工智能对白内障和屈光手术的影响日益明显。这些进步对临床实践具有重大意义,有望为患者提供更加个性化的护理,促进疾病的早期发现和干预。同样,本综述还强调了这样一个事实,即这些工作中只有部分进入了临床阶段,而成功整合这些工作可能会受益于我们的关注。
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引用次数: 0
Artificial intelligence for geographic atrophy: pearls and pitfalls. 人工智能治疗地理萎缩:珍珠与陷阱。
IF 3.7 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2024-08-27 DOI: 10.1097/icu.0000000000001085
Marie Louise Enzendorfer,Ursula Schmidt-Erfurth
PURPOSE OF REVIEWThis review aims to address the recent advances of artificial intelligence (AI) in the context of clinical management of geographic atrophy (GA), a vision-impairing late-stage manifestation of age-related macular degeneration (AMD).RECENT FINDINGSRecent literature shows substantial advancements in the development of AI systems to segment GA lesions on multimodal retinal images, including color fundus photography (CFP), fundus autofluorescence (FAF) and optical coherence tomography (OCT), providing innovative solutions to screening and early diagnosis. Especially, the high resolution and 3D-nature of OCT has provided an optimal source of data for the training and validation of novel algorithms. The use of AI to measure progression in the context of newly approved GA therapies, has shown that AI methods may soon be indispensable for patient management. To date, while many AI models have been reported on, their implementation in the real-world has only just started. The aim is to make the benefits of AI-based personalized treatment accessible and far-reaching.SUMMARYThe most recent advances (pearls) and challenges (pitfalls) associated with AI methods and their clinical implementation in the context of GA will be discussed.
综述目的本综述旨在探讨人工智能(AI)在地理萎缩(GA)临床管理方面的最新进展,地理萎缩是老年性黄斑变性(AMD)晚期的一种视力损害表现。最近的发现最近的文献显示,在开发人工智能系统方面取得了重大进展,该系统可对多模态视网膜图像(包括彩色眼底照相(CFP)、眼底自动荧光(FAF)和光学相干断层扫描(OCT))上的GA病变进行分割,为筛查和早期诊断提供了创新解决方案。尤其是光学相干断层扫描的高分辨率和三维特性,为新型算法的训练和验证提供了最佳数据来源。在新批准的 GA 疗法中使用人工智能来测量病情进展,这表明人工智能方法可能很快就会成为患者管理中不可或缺的手段。迄今为止,虽然已有许多人工智能模型被报道,但它们在现实世界中的应用才刚刚开始。摘要 将讨论人工智能方法的最新进展(珍珠)和挑战(陷阱),以及它们在天基疗法中的临床应用。
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引用次数: 0
Artificial intelligence in myopia in children: current trends and future directions. 人工智能在儿童近视中的应用:当前趋势与未来方向。
IF 3.7 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2024-08-27 DOI: 10.1097/icu.0000000000001086
Clarissa Ng Yin Ling,Xiangjia Zhu,Marcus Ang
PURPOSE OF REVIEWMyopia is one of the major causes of visual impairment globally, with myopia and its complications thus placing a heavy healthcare and economic burden. With most cases of myopia developing during childhood, interventions to slow myopia progression are most effective when implemented early. To address this public health challenge, artificial intelligence has emerged as a potential solution in childhood myopia management.RECENT FINDINGSThe bulk of artificial intelligence research in childhood myopia was previously focused on traditional machine learning models for the identification of children at high risk for myopia progression. Recently, there has been a surge of literature with larger datasets, more computational power, and more complex computation models, leveraging artificial intelligence for novel approaches including large-scale myopia screening using big data, multimodal data, and advancing imaging technology for myopia progression, and deep learning models for precision treatment.SUMMARYArtificial intelligence holds significant promise in transforming the field of childhood myopia management. Novel artificial intelligence modalities including automated machine learning, large language models, and federated learning could play an important role in the future by delivering precision medicine, improving health literacy, and allowing the preservation of data privacy. However, along with these advancements in technology come practical challenges including regulation and clinical integration.
综述目的 近视是全球视力损伤的主要原因之一,近视及其并发症给医疗保健和经济造成了沉重负担。由于大多数近视病例都是在儿童时期形成的,因此尽早实施干预措施以减缓近视的发展最为有效。为了应对这一公共卫生挑战,人工智能已成为儿童近视管理的潜在解决方案。最近的发现儿童近视方面的人工智能研究主要集中在传统的机器学习模型上,用于识别近视发展的高风险儿童。最近,大量文献利用更大的数据集、更强的计算能力和更复杂的计算模型,将人工智能用于新方法,包括利用大数据、多模态数据和先进的成像技术进行大规模近视筛查,以确定近视发展情况,以及利用深度学习模型进行精准治疗。包括自动机器学习、大型语言模型和联合学习在内的新型人工智能模式可通过提供精准医疗、提高健康素养和保护数据隐私在未来发挥重要作用。然而,伴随这些技术进步而来的是监管和临床整合等实际挑战。
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引用次数: 0
Novel artificial intelligence for diabetic retinopathy and diabetic macular edema: what is new in 2024? 治疗糖尿病视网膜病变和糖尿病黄斑水肿的新型人工智能:2024 年的新动向?
IF 3.7 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2024-08-27 DOI: 10.1097/icu.0000000000001084
Stela Vujosevic,Celeste Limoli,Paolo Nucci
PURPOSE OF REVIEWGiven the increasing global burden of diabetic retinopathy and the rapid advancements in artificial intelligence, this review aims to summarize the current state of artificial intelligence technology in diabetic retinopathy detection and management, assessing its potential to improve care and visual outcomes in real-world settings.RECENT FINDINGSMost recent studies focused on the integration of artificial intelligence in the field of diabetic retinopathy screening, focusing on real-world efficacy and clinical implementation of such artificial intelligence models. Additionally, artificial intelligence holds the potential to predict diabetic retinopathy progression, enhance personalized treatment strategies, and identify systemic disease biomarkers from ocular images through 'oculomics', moving towards a more precise, efficient, and accessible care. The emergence of foundation model architectures and generative artificial intelligence, which more clearly reflect the clinical care process, may enable rapid advances in diabetic retinopathy care, research and medical education.SUMMARYThis review explores the emerging technology of artificial intelligence to assess the potential to improve patient outcomes and optimize personalized management in healthcare delivery and medical research. While artificial intelligence is expected to play an increasingly important role in diabetic retinopathy care, ongoing research and clinical trials are essential to address implementation issues and focus on long-term patient outcomes for successful real-world adoption of artificial intelligence in diabetic retinopathy.
本综述旨在总结人工智能技术在糖尿病视网膜病变检测和管理中的应用现状,评估其在实际环境中改善护理和视觉效果的潜力。最近的发现最近的大多数研究都侧重于人工智能在糖尿病视网膜病变筛查领域的整合,重点关注此类人工智能模型的实际效果和临床应用。此外,人工智能还具有预测糖尿病视网膜病变进展、增强个性化治疗策略以及通过 "眼科组学 "从眼部图像中识别系统疾病生物标记物的潜力,从而实现更精确、更高效、更便捷的护理。基础模型架构和生成式人工智能的出现更清晰地反映了临床护理过程,可使糖尿病视网膜病变护理、研究和医学教育取得快速进展。虽然人工智能有望在糖尿病视网膜病变护理中发挥越来越重要的作用,但持续的研究和临床试验对于解决实施问题和关注患者的长期疗效至关重要,以便在糖尿病视网膜病变的实际应用中成功采用人工智能。
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引用次数: 0
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Current Opinion in Ophthalmology
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