Year: 2018
Type: article
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.
Source: Theranostics
DOI: 10.7150/thno.28447
Institutions: Taipei Veterans General Hospital, National Yang Ming University, University of California San Diego, Taipei Municipal YangMing Hospital, Taipei City Hospital, Fu Jen Catholic University, Tri-Service General Hospital, National Defense Medical Center, Genomics Research Center, Academia Sinica, Academia Sinica
Language: English
Topic: Retinal Imaging and Analysis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,671
Awards: G1136354999, G1264965750, Novel Bioengineering and Technological Approaches to Solve Three Major Health Problems in Taiwan( II ), G1341214186, Novel Bioengineering and Technological Approaches to Solve Three Major Health Problems in Taiwan( I ), G1584567350, G1611372142, G190040542, G2008517287, G2434625447, Promotion of healthy aging and facilitation of bioindustry: the development of new drugs and nutritional supplements( II ), G2746004170, G2876113410, Advanced Translation of Cellular Reprogramming Technologies in Regenerative Medicine( I ), G363084439, G3878469582, G3952313211, Development of Lipoprotein Nanoparticle-Nano-Diamond-Based Gene Correction and Delivery Device for Treating Hereditary Retinal Diseases( I ), G4572799141, G461543303, Novel Bioengineering and Technological Approaches to Solve Three Major Health Problems in Taiwan( III ), G4945243824, G5730396035, G5807253991, Human Disease Induced Pluripotent Stem Cells (Ipsc) Service Consortium, G6461148405, G689809974, G7781925618, G8381772032, G8758804420
OpenAlex ID: W2904843285