Current Opinion in Ophthalmology最新文献_第5页

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

Current Opinion in Ophthalmology Pub Date : 2024-09-01 Epub Date: 2024-06-26 DOI: 10.1097/ICU.0000000000001071

Ron Kaufman, Albert S Jun

{"title":"Emerging alternatives to keratoplasty for corneal endothelial cell dysfunction.","authors":"Ron Kaufman, Albert S Jun","doi":"10.1097/ICU.0000000000001071","DOIUrl":"10.1097/ICU.0000000000001071","url":null,"abstract":"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.","PeriodicalId":50604,"journal":{"name":"Current Opinion in Ophthalmology","volume":" ","pages":"415-422"},"PeriodicalIF":3.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141472187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Current Opinion in Ophthalmology Pub Date : 2024-09-01 Epub Date: 2024-08-08 DOI: 10.1097/ICU.0000000000001073

Avni P Finn, Jayanth Sridhar

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

Current Opinion in Ophthalmology Pub Date : 2024-08-29 DOI: 10.1097/icu.0000000000001088

Mark E Pennesi,Yi-Zhong Wang,David G Birch

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

Current Opinion in Ophthalmology Pub Date : 2024-08-28 DOI: 10.1097/icu.0000000000001090

Radhika Rampat,Guillaume Debellemanière,Damien Gatinel,Darren S J Ting

{"title":"Artificial intelligence applications in cataract and refractive surgeries.","authors":"Radhika Rampat,Guillaume Debellemanière,Damien Gatinel,Darren S J Ting","doi":"10.1097/icu.0000000000001090","DOIUrl":"https://doi.org/10.1097/icu.0000000000001090","url":null,"abstract":"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.","PeriodicalId":50604,"journal":{"name":"Current Opinion in Ophthalmology","volume":"12 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Current Opinion in Ophthalmology Pub Date : 2024-08-27 DOI: 10.1097/icu.0000000000001085

Marie Louise Enzendorfer,Ursula Schmidt-Erfurth

{"title":"Artificial intelligence for geographic atrophy: pearls and pitfalls.","authors":"Marie Louise Enzendorfer,Ursula Schmidt-Erfurth","doi":"10.1097/icu.0000000000001085","DOIUrl":"https://doi.org/10.1097/icu.0000000000001085","url":null,"abstract":"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.","PeriodicalId":50604,"journal":{"name":"Current Opinion in Ophthalmology","volume":"11 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Current Opinion in Ophthalmology Pub Date : 2024-08-27 DOI: 10.1097/icu.0000000000001086

Clarissa Ng Yin Ling,Xiangjia Zhu,Marcus Ang

{"title":"Artificial intelligence in myopia in children: current trends and future directions.","authors":"Clarissa Ng Yin Ling,Xiangjia Zhu,Marcus Ang","doi":"10.1097/icu.0000000000001086","DOIUrl":"https://doi.org/10.1097/icu.0000000000001086","url":null,"abstract":"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.","PeriodicalId":50604,"journal":{"name":"Current Opinion in Ophthalmology","volume":"16 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Current Opinion in Ophthalmology Pub Date : 2024-08-27 DOI: 10.1097/icu.0000000000001084

Stela Vujosevic,Celeste Limoli,Paolo Nucci

{"title":"Novel artificial intelligence for diabetic retinopathy and diabetic macular edema: what is new in 2024?","authors":"Stela Vujosevic,Celeste Limoli,Paolo Nucci","doi":"10.1097/icu.0000000000001084","DOIUrl":"https://doi.org/10.1097/icu.0000000000001084","url":null,"abstract":"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.","PeriodicalId":50604,"journal":{"name":"Current Opinion in Ophthalmology","volume":"7 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ethical considerations for large language models in ophthalmology. 眼科大型语言模型的伦理考虑因素。

IF 3.7 2区医学

Current Opinion in Ophthalmology Pub Date : 2024-08-27 DOI: 10.1097/icu.0000000000001083

Fritz Gerald P Kalaw,Sally L Baxter

{"title":"Ethical considerations for large language models in ophthalmology.","authors":"Fritz Gerald P Kalaw,Sally L Baxter","doi":"10.1097/icu.0000000000001083","DOIUrl":"https://doi.org/10.1097/icu.0000000000001083","url":null,"abstract":"PURPOSE OF REVIEWThis review aims to summarize and discuss the ethical considerations regarding large language model (LLM) use in the field of ophthalmology.RECENT FINDINGSThis review of 47 articles on LLM applications in ophthalmology highlights their diverse potential uses, including education, research, clinical decision support, and surgical assistance (as an aid in operative notes). We also review ethical considerations such as the inability of LLMs to interpret data accurately, the risk of promoting controversial or harmful recommendations, and breaches of data privacy. These concerns imply the need for cautious integration of artificial intelligence in healthcare, emphasizing human oversight, transparency, and accountability to mitigate risks and uphold ethical standards.SUMMARYThe integration of LLMs in ophthalmology offers potential advantages such as aiding in clinical decision support and facilitating medical education through their ability to process queries and analyze ophthalmic imaging and clinical cases. However, their utilization also raises ethical concerns regarding data privacy, potential misinformation, and biases inherent in the datasets used. Awareness of these concerns should be addressed in order to optimize its utility in the healthcare setting. More importantly, promoting responsible and careful use by consumers should be practiced.","PeriodicalId":50604,"journal":{"name":"Current Opinion in Ophthalmology","volume":"73 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pediatric refractive surgery: current opinion in ophthalmology. 小儿屈光手术：眼科学的最新观点。

IF 3.7 2区医学

Current Opinion in Ophthalmology Pub Date : 2024-07-01 Epub Date: 2024-04-30 DOI: 10.1097/ICU.0000000000001057

Abigail J Kim, Kourosh Shahraki, Donny W Suh

引用次数: 0

Current trends in the management of corneal neovascularization. 角膜新生血管管理的当前趋势。

IF 3.7 2区医学

Current Opinion in Ophthalmology Pub Date : 2024-07-01 Epub Date: 2024-05-14 DOI: 10.1097/ICU.0000000000001049

Neal Rangu, Deanna H Dang, Kamran M Riaz

{"title":"Current trends in the management of corneal neovascularization.","authors":"Neal Rangu, Deanna H Dang, Kamran M Riaz","doi":"10.1097/ICU.0000000000001049","DOIUrl":"10.1097/ICU.0000000000001049","url":null,"abstract":"Purpose of review: The aim of this study was to highlight recent developments in the medical and surgical management of corneal neovascularization (NV).Recent findings: Improved understanding and diagnostic criteria among clinicians have led to advancements in the characterization of corneal NV and objective assessment of treatment response through ancillary imaging devices. Developments in corneal NV treatments, such as antivascular endothelial growth factor, fine needle diathermy, and photodynamic therapy, have improved treatment success rates and visual outcomes. More recent surgical treatment advancements include corneal cross-linking, endothelial keratoplasty, and mitomycin intravascular chemoembolization. Finally, a greater appreciation of the molecular pathogenesis and angiogenic factors involved in corneal NV has identified numerous potential targeted therapies in the future.Summary: The management of corneal NV has evolved to include several standalone and combination medical and surgical options. Additionally, improvements in quantifying corneal NV and understanding its molecular basis have contributed to new management strategies with improved outcomes.","PeriodicalId":50604,"journal":{"name":"Current Opinion in Ophthalmology","volume":"35 4","pages":"329-342"},"PeriodicalIF":3.7,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141176809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0