https://scholars.lib.ntu.edu.tw/handle/123456789/410236
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Hwang, De-Kuang | en_US |
dc.contributor.author | Hsu, Chih-Chien | en_US |
dc.contributor.author | Chang, Kao-Jung | en_US |
dc.contributor.author | Chao, Daniel | en_US |
dc.contributor.author | Sun, Chuan-Hu | en_US |
dc.contributor.author | Jheng, Ying-Chun | en_US |
dc.contributor.author | A Yarmishyn, Aliaksandr | en_US |
dc.contributor.author | Wu, Jau-Ching | en_US |
dc.contributor.author | Tsai, Ching-Yao | en_US |
dc.contributor.author | Wang, Mong-Lien | en_US |
dc.contributor.author | Peng, Chi-Hsien | en_US |
dc.contributor.author | Chien, Ke-Hung | en_US |
dc.contributor.author | Kao, Chung-Lan | en_US |
dc.contributor.author | Lin, Tai-Chi | en_US |
dc.contributor.author | LIN-CHUNG WOUNG | en_US |
dc.contributor.author | Chen, Shih-Jen | en_US |
dc.contributor.author | Chiou, Shih-Hwa | en_US |
dc.creator | Hwang, De-Kuang;Hsu, Chih-Chien;Chang, Kao-Jung;Chao, Daniel;Sun, Chuan-Hu;Jheng, Ying-Chun;A Yarmishyn, Aliaksandr;Wu, Jau-Ching;Tsai, Ching-Yao;Wang, Mong-Lien;Peng, Chi-Hsien;Chien, Ke-Hung;Kao, Chung-Lan;Lin, Tai-Chi;Lin-Chung Woung;Chen, Shih-Jen;Chiou, Shih-Hwa;Lin-Chung Woung | - |
dc.date.accessioned | 2019-05-24T05:26:38Z | - |
dc.date.available | 2019-05-24T05:26:38Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 1838-7640 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/410236 | - |
dc.description.abstract | Artificial intelligence (AI) based on convolutional neural networks (CNNs) has a great potential to enhance medical workflow and improve health care quality. Of particular interest is practical implementation of such AI-based software as a cloud-based tool aimed for telemedicine, the practice of providing medical care from a distance using electronic interfaces. Methods: In this study, we used a dataset of labeled 35,900 optical coherence tomography (OCT) images obtained from age-related macular degeneration (AMD) patients and used them to train three types of CNNs to perform AMD diagnosis. Results: Here, we present an AI- and cloud-based telemedicine interaction tool for diagnosis and proposed treatment of AMD. Through deep learning process based on the analysis of preprocessed optical coherence tomography (OCT) imaging data, our AI-based system achieved the same image discrimination rate as that of retinal specialists in our hospital. The AI platform's detection accuracy was generally higher than 90% and was significantly superior (p < 0.001) to that of medical students (69.4% and 68.9%) and equal (p = 0.99) to that of retinal specialists (92.73% and 91.90%). Furthermore, it provided appropriate treatment recommendations comparable to those of retinal specialists. Conclusions: We therefore developed a website for realistic cloud computing based on this AI platform, available at https://www.ym.edu.tw/~AI-OCT/. Patients can upload their OCT images to the website to verify whether they have AMD and require treatment. Using an AI-based cloud service represents a real solution for medical imaging diagnostics and telemedicine. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IVYSPRING INT PUBL | en_US |
dc.relation.ispartof | Theranostics | en_US |
dc.subject | AI-based website; artificial intelligence (AI); cloud website; convolutional neural network; deep learning; telemedicine | en_US |
dc.title | Artificial intelligence-based decision-making for age-related macular degeneration | en_US |
dc.type | journal article | en |
dc.identifier.doi | https://api.elsevier.com/content/abstract/scopus_id/85059510761 | - |
dc.identifier.doi | 10.7150/thno.28447 | - |
dc.identifier.pmid | 30662564 | - |
dc.identifier.scopus | 2-s2.0-85059510761 | - |
dc.identifier.isi | WOS:000453827100004 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85059510761 | - |
dc.relation.pages | 232 | en_US |
dc.relation.journalvolume | 9 | en_US |
dc.relation.journalissue | 1 | en_US |
dc.relation.pageend | 245 | en_US |
item.fulltext | no fulltext | - |
item.cerifentitytype | Publications | - |
item.openairetype | journal article | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.grantfulltext | none | - |
crisitem.author.dept | Ophthalmology | - |
crisitem.author.dept | Ophthalmology-NTUH | - |
crisitem.author.orcid | 0000-0002-0700-7606 | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
顯示於: | 醫學院附設醫院 (臺大醫院) |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。