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| 1 | Telbivudine Improves Renal Function in Patients With Chronic Hepatitis B显示文摘 | Edward J. Gane Gilbert Deray Yun-Fan Liaw Seng Gee Lim Ching-Lung Lai Jens Rasenack Yuming Wang George Papatheodoridis Adrian Di Bisceglie Maria Buti Didier Samuel Alkaz Uddin Sophie Bosset Aldo Trylesinski | 2014 | Gastroenterology2014，，1： | 2 |
| 2 | Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy:a review显示文摘Background:Effective screening is a desirable method for the early detection and successful treatment for diabetic retinopathy,and fundus photography is currently the dominant medium for retinal imaging due to its convenience and accessibility.Manual screening using fundus photographs has however involved considerable costs for patients,clinicians and national health systems,which has limited its application particularly in less-developed countries.The advent of artificial intelligence,and in particular deep learning techniques,has however raised the possibility of widespread automated screening.Main text:In this review,we first briefly survey major published advances in retinal analysis using artificial intelligence.We take care to separately describe standard multiple-field fundus photography,and the newer modalities of ultrawide field photography and smartphone-based photography.Finally,we consider several machine learning concepts that have been particularly relevant to the domain and illustrate their usage with extant works.Conclusions:In the ophthalmology field,it was demonstrated that deep learning tools for diabetic retinopathy show clinically acceptable diagnostic performance when using colour retinal fundus images.Artificial intelligence models are among the most promising solutions to tackle the burden of diabetic retinopathy management in a comprehensive manner.However,future research is crucial to assess the potential clinical deployment,evaluate the cost-effectiveness of different DL systems in clinical practice and improve clinical acceptance. | Gilbert Lim Valentina Bellemo Yuchen Xie Xin Q.Lee Michelle Y.T.Yip Daniel S.W.Ting | 2020 | Eye and Vision2020，7，1： | 2 |
| 3 | Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression显示文摘 | Lei S. Qi Matthew H. Larson Luke A. Gilbert Jennifer A. Doudna Jonathan S. Weissman Adam P. Arkin Wendell A. Lim | 2013 | Cell2013，，： | 2 |
| 4 | Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression显示文摘 | Lei S. Qi Matthew H. Larson Luke A. Gilbert Jennifer A. Doudna Jonathan S. Weissman Adam P. Arkin Wendell A. Lim | 2013 | Cell2013，，： | 2 |
| 5 | CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes显示文摘 | Luke A. Gilbert Matthew H. Larson Leonardo Morsut Zairan Liu Gloria A. Brar Sandra E. Torres Noam Stern-Ginossar Onn Brandman Evan H. Whitehead Jennifer A. Doudna Wendell A. Lim Jonathan S. Weissman Lei S. Qi | 2013 | Cell2013，，2： | 2 |
| 6 | A Method for Determining the Short-and Long-term Behaviour of Slender Reinforced Concrete Columns in Sway Frames 显示文摘 | LIM Y K BRADFORD M A GILBERT R I | 1994 | Magazine of Concrete Research1994，46，168： | 1 |
| 7 | CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes显示文摘 | Luke A. Gilbert Matthew H. Larson Leonardo Morsut Zairan Liu Gloria A. Brar Sandra E. Torres Noam Stern-Ginossar Onn Brandman Evan H. Whitehead Jennifer A. Doudna Wendell A. Lim Jonathan S. Weissman Lei S. Qi | 2013 | Cell2013，，2： | 1 |
| 8 | Application of artifcial intelligence in cataract management:current and future directions显示文摘The rise of artifcial intelligence(AI)has brought breakthroughs in many areas of medicine.In ophthalmology,AI has delivered robust results in the screening and detection of diabetic retinopathy,age-related macular degeneration,glaucoma,and retinopathy of prematurity.Cataract management is another feld that can beneft from greater AI application.Cataract is the leading cause of reversible visual impairment with a rising global clinical burden.Improved diagnosis,monitoring,and surgical management are necessary to address this challenge.In addition,patients in large developing countries often sufer from limited access to tertiary care,a problem further exacerbated by the ongoing COVID-19 pandemic.AI on the other hand,can help transform cataract management by improving automation,efcacy and overcoming geographical barriers.First,AI can be applied as a telediagnostic platform to screen and diagnose patients with cataract using slit-lamp and fundus photographs.This utilizes a deep-learning,convolutional neural network(CNN)to detect and classify referable cataracts appropriately.Second,some of the latest intraocular lens formulas have used AI to enhance prediction accuracy,achieving superior postoperative refractive results compared to traditional formulas.Third,AI can be used to augment cataract surgical skill training by identifying diferent phases of cataract surgery on video and to optimize operating theater workfows by accurately predicting the duration of surgical procedures.Fourth,some AI CNN models are able to efectively predict the progression of posterior capsule opacifcation and eventual need for YAG laser capsulotomy.These advances in AI could transform cataract management and enable delivery of efcient ophthalmic services.The key challenges include ethical management of data,ensuring data security and privacy,demonstrating clinically acceptable performance,improving the generalizability of AI models across heterogeneous populations,and improving the trust of end-users. | Laura Gutierrez Jane Sujuan Lim Li Lian Foo Wei Yan Ng Michelle Yip Gilbert Yong San Lim Melissa Hsing Yi Wong Allan Fong Mohamad Rosman Jodhbir Singth Mehta Haotian Lin Darren Shu Jeng Ting Daniel Shu Wei Ting | 2024 | Eye and Vision2024，10，1： | 0 |
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