Cargando…

Research Progress of Artificial Intelligence Image Analysis in Systemic Disease-Related Ophthalmopathy

The eye is one of the most important organs of the human body. Eye diseases are closely related to other systemic diseases, both of which influence each other. Numerous systemic diseases lead to special clinical manifestations and complications in the eyes. Typical diseases include diabetic retinopa...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ji, Yuke, Chen, Nan, Liu, Sha, Yan, Zhipeng, Qian, Hui, Zhu, Shaojun, Zhang, Jie, Wang, Minli, Jiang, Qin, Yang, Weihua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Review Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249504/ https://www.ncbi.nlm.nih.gov/pubmed/35783011 http://dx.doi.org/10.1155/2022/3406890

Ejemplares similares

Research progress and application of artificial intelligence in thyroid associated ophthalmopathy
por: Diao, Jiale, et al.
Publicado: (2023)

Research progress on diagnosing retinal vascular diseases based on artificial intelligence and fundus images
por: Ji, Yuke, et al.
Publicado: (2023)

Development and Application of an Intelligent Diagnosis System for Retinal Vein Occlusion Based on Deep Learning
por: Xu, Wei, et al.
Publicado: (2022)

An Intelligent Diagnostic System for Thyroid-Associated Ophthalmopathy Based on Facial Images
por: Huang, Xiao, et al.
Publicado: (2022)

Systematic Bibliometric and Visualized Analysis of Research Hotspots and Trends on the Application of Artificial Intelligence in Ophthalmic Disease Diagnosis
por: Zhao, Junqiang, et al.
Publicado: (2022)

Advances in artificial intelligence models and algorithms in the field of optometry
por: Wang, Suyu, et al.
Publicado: (2023)

The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming
por: Wang, Shunli, et al.
Publicado: (2022)

Advances in artificial intelligence applications for ocular surface diseases diagnosis
por: Ji, Yuke, et al.
Publicado: (2022)

Research on an Intelligent Lightweight-Assisted Pterygium Diagnosis Model Based on Anterior Segment Images
por: Zheng, Bo, et al.
Publicado: (2021)

Research progress on the pathogenesis of Graves’ ophthalmopathy: Based on immunity, noncoding RNA and exosomes
por: Zheng, Jingyi, et al.
Publicado: (2022)

Imaging Evaluation of the Orbit in Graves Ophthalmopathy
por: SAS, T.N., et al.
Publicado: (2015)

The role of artificial intelligence in medical imaging research
por: Tang, Xiaoli
Publicado: (2019)

Artificial Intelligence for Cardiac Imaging-Genetics Research
por: de Marvao, Antonio, et al.
Publicado: (2020)

Emerging Trends and Research Foci in Artificial Intelligence for Retinal Diseases: Bibliometric and Visualization Study
por: Zhao, Junqiang, et al.
Publicado: (2022)

Progress in Research on Artificial Intelligence Applied to Polymorphism and Cocrystal Prediction
por: Heng, Tianyu, et al.
Publicado: (2021)

Research Highlight: Use of Generative Images Created with Artificial Intelligence for Brain Tumor Imaging
por: Park, Ji Eun, et al.
Publicado: (2022)

Progress in the pathogenesis of thyroid-associated ophthalmopathy and new drug development
por: Huang, Yazhuo, et al.
Publicado: (2020)

Thyroid-associated Ophthalmopathy
por: Şahlı, Esra, et al.
Publicado: (2017)

Autophagy in graves’ ophthalmopathy
por: Chen, Yu-Qing, et al.
Publicado: (2023)

An Automatic Image Processing Method Based on Artificial Intelligence for Locating the Key Boundary Points in the Central Serous Chorioretinopathy Lesion Area
por: Xu, Jianguo, et al.
Publicado: (2023)

Progress of Artificial Intelligence in Gynecological Malignant Tumors
por: Zhou, Jie, et al.
Publicado: (2020)

Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data
por: Wang, Robin, et al.
Publicado: (2021)

Metformin Attenuates Inflammation and Fibrosis in Thyroid-Associated Ophthalmopathy
por: Xu, Zhihui, et al.
Publicado: (2022)

The significance of ophthalmological features in diagnosis of thyroid-associated ophthalmopathy
por: Huang, Xiao, et al.
Publicado: (2023)

Challenges for Artificial Intelligence in Recognizing Mental Disorders
por: Yan, Wen-Jing, et al.
Publicado: (2022)

Medical artificial intelligent research: translating artificial intelligence into clinical practice
por: Lin, Haotian, et al.
Publicado: (2020)

Artificial intelligence: A powerful paradigm for scientific research
por: Xu, Yongjun, et al.
Publicado: (2021)

Deep learning-based image analysis of eyelid morphology in thyroid-associated ophthalmopathy
por: Shao, Ji, et al.
Publicado: (2023)

Artificial Intelligence in Medical Imaging of the Breast
por: Lei, Yu-Meng, et al.
Publicado: (2021)

Current insights of applying MRI in Graves’ ophthalmopathy
por: Song, Cheng, et al.
Publicado: (2022)

Immunological Aspects of Graves' Ophthalmopathy
por: Łacheta, Dominika, et al.
Publicado: (2019)

Cytokines in Thyroid-Associated Ophthalmopathy
por: Zhang, Pengbo, et al.
Publicado: (2022)

Research Progress of Respiratory Disease and Idiopathic Pulmonary Fibrosis Based on Artificial Intelligence
por: Zhang, Gerui, et al.
Publicado: (2023)

Artificial intelligence is transforming the research paradigm of environmental science and engineering
por: Wang, Xu, et al.
Publicado: (2023)

Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging
por: Schuurmans, Megan, et al.
Publicado: (2022)

Research on the Application of Artificial Intelligence in Public Health Management: Leveraging Artificial Intelligence to Improve COVID-19 CT Image Diagnosis
por: He, Tiancheng, et al.
Publicado: (2023)

Artificial intelligence in molecular imaging
por: Herskovits, Edward H.
Publicado: (2021)

Artificial intelligence in oncologic imaging
por: Chen, Melissa M., et al.
Publicado: (2022)

Artificial Intelligence in the Imaging of Gastric Cancer: Current Applications and Future Direction
por: Qin, Yun, et al.
Publicado: (2021)

AI (Artificial Intelligence) and Hypertension Research
por: Mueller, Franco B.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_oem3q08bs567g21d7a9mbv54b8