https://scholars.lib.ntu.edu.tw/handle/123456789/410236
標題: | Artificial intelligence-based decision-making for age-related macular degeneration | 作者: | 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 |
關鍵字: | AI-based website; artificial intelligence (AI); cloud website; convolutional neural network; deep learning; telemedicine | 公開日期: | 2019 | 出版社: | IVYSPRING INT PUBL | 卷: | 9 | 期: | 1 | 起(迄)頁: | 232 | 來源出版物: | Theranostics | 摘要: | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/410236 | ISSN: | 1838-7640 | DOI: | https://api.elsevier.com/content/abstract/scopus_id/85059510761 10.7150/thno.28447 |
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。