Extending the Reach and Task-Shifting Ophthalmology Diagnostics Through Remote Visualisation

Giardini, Mario; Livingstone, Iain A. T.

doi:10.1007/978-3-030-47483-6_9

Cited by 6 publications

(3 citation statements)

References 43 publications

(44 reference statements)

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“…Gulshan, V et al established that deep learning algorithms had high sensitivity and specificity for detecting diabetic retinopathy and macular edema ( Gulshan et al, 2016 ). Although it is impossible to predict the number of literature on AI for ophthalmic disease diagnosis that will be published in the future, it is still a promising research field and the efficacy of the application of AI has been confirmed by many studies ( Giardini and Livingstone, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Systematic Bibliometric and Visualized Analysis of Research Hotspots and Trends on the Application of Artificial Intelligence in Ophthalmic Disease Diagnosis

Zhao

Zhu

et al. 2022

Front. Pharmacol.

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Background: Artificial intelligence (AI) has been used in the research of ophthalmic disease diagnosis, and it may have an impact on medical and ophthalmic practice in the future. This study explores the general application and research frontier of artificial intelligence in ophthalmic disease detection.Methods: Citation data were downloaded from the Web of Science Core Collection database to evaluate the extent of the application of Artificial intelligence in ophthalmic disease diagnosis in publications from 1 January 2012, to 31 December 2021. This information was analyzed using CiteSpace.5.8. R3 and Vosviewer.Results: A total of 1,498 publications from 95 areas were examined, of which the United States was determined to be the most influential country in this research field. The largest cluster labeled “Brownian motion” was used prior to the application of AI for ophthalmic diagnosis from 2007 to 2017, and was an active topic during this period. The burst keywords in the period from 2020 to 2021 were system, disease, and model.Conclusion: The focus of artificial intelligence research in ophthalmic disease diagnosis has transitioned from the development of AI algorithms and the analysis of abnormal eye physiological structure to the investigation of more mature ophthalmic disease diagnosis systems. However, there is a need for further studies in ophthalmology and computer engineering.

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Section: Discussionmentioning

confidence: 99%

Systematic Bibliometric and Visualized Analysis of Research Hotspots and Trends on the Application of Artificial Intelligence in Ophthalmic Disease Diagnosis

Zhao

Zhu

et al. 2022

Front. Pharmacol.

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“…Recently, a 5G connected smartphone attached to a portable slit lamp provided a live streaming in real time of high enough quality to be used clinically, thus opening up even more potential for telemedicine and teleophthalmology in the future. 34 …”

Section: Discussionmentioning

confidence: 99%

5G Use in Healthcare: The Future is Present

Γεωργίου¹,

Georgiou²,

Satava³

2021

JSLS

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Background: Most healthcare providers are unaware of the extraordinary opportunities for implementation in healthcare which can be enabled by 5G wireless networks. 5G created enormous opportunities for a myriad of new technologies, resulting in an integrated through 5G ‘ecosystem’. Although the new opportunities in healthcare are immense, medicine is slow to change, as manifest by the paucity of new, innovative applications based upon this ecosystem. Thus, emerges the need to “avoid technology surprise” - both laparoscopic and robotic assisted minimally invasive surgery were delayed for years because the surgical community was either unaware or unaccepting of a new technology. Database: PubMed (Medline) and Scopus (Elsevier) databases were searched and all published studies regarding clinical applications of 5G were retrieved. From a total of 40 articles, 13 were finally included in our review. Discussion: The important transformational properties of 5G communications and other innovative technologies are described and compared to healthcare needs, looking for opportunities, limitations, and challenges to implementation of 5G and the ecosystem it has spawned. Furthermore, the needs in the clinical applications, education and research in medicine and surgery, in addition to the administrative infrastructure are addressed. Additionally, we explore the nontechnical challenges, that either support or oppose this new healthcare renovation. Based upon proven advantages of these innovative technologies, current scientific evidence is analyzed for future trends for the transformation of healthcare. By providing awareness of these opportunities and their advantages for patients, it will be possible to decrease the prolonged timeframe for acceptance and implementation for patients.

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“…Face-to-face consultations remain the optimal medium for ophthalmic consultation. Virtual consultations have been implemented as an alternative in the covid-19 pandemic 123456789. In a recent London study of 854 patients, video consultations for emergency ophthalmology services in adults had similar safety to face-to-face consultations.…”

mentioning

confidence: 99%