期刊论文详细信息
Frontiers in Big Data
Big data in corneal diseases and cataract: Current applications and future directions
Big Data
Darren S. J. Ting1  Rashmi Deshmukh2  Marcus Ang3  Daniel S. W. Ting3 
[1] Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom;Birmingham and Midland Eye Centre, Birmingham, United Kingdom;Academic Ophthalmology, School of Medicine, University of Nottingham, Nottingham, United Kingdom;Department of Cornea and Refractive Surgery, LV Prasad Eye Institute, Hyderabad, India;Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore;Department of Ophthalmology and Visual Sciences, Duke-National University of Singapore (NUS) Medical School, Singapore, Singapore;
关键词: big data;    cornea;    cataract;    clinical registry;    artificial intelligence;    electronic health record (EHR);    mHealth;    ophthalmology (MeSH);   
DOI  :  10.3389/fdata.2023.1017420
 received in 2022-08-12, accepted in 2023-01-16,  发布年份 2023
来源: Frontiers
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【 摘 要 】

The accelerated growth in electronic health records (EHR), Internet-of-Things, mHealth, telemedicine, and artificial intelligence (AI) in the recent years have significantly fuelled the interest and development in big data research. Big data refer to complex datasets that are characterized by the attributes of “5 Vs”—variety, volume, velocity, veracity, and value. Big data analytics research has so far benefitted many fields of medicine, including ophthalmology. The availability of these big data not only allow for comprehensive and timely examinations of the epidemiology, trends, characteristics, outcomes, and prognostic factors of many diseases, but also enable the development of highly accurate AI algorithms in diagnosing a wide range of medical diseases as well as discovering new patterns or associations of diseases that are previously unknown to clinicians and researchers. Within the field of ophthalmology, there is a rapidly expanding pool of large clinical registries, epidemiological studies, omics studies, and biobanks through which big data can be accessed. National corneal transplant registries, genome-wide association studies, national cataract databases, and large ophthalmology-related EHR-based registries (e.g., AAO IRIS Registry) are some of the key resources. In this review, we aim to provide a succinct overview of the availability and clinical applicability of big data in ophthalmology, particularly from the perspective of corneal diseases and cataract, the synergistic potential of big data, AI technologies, internet of things, mHealth, and wearable smart devices, and the potential barriers for realizing the clinical and research potential of big data in this field.

【 授权许可】

Unknown   
Copyright © 2023 Ting, Deshmukh, Ting and Ang.

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