In-depth analysis of research hotspots and emerging trends in AI for retinal diseases over the past decade
BackgroundThe application of Artificial Intelligence (AI) in diagnosing retinal diseases represents a significant advancement in ophthalmological research, with the potential to reshape future practices in the field. This study explores the extensive applications and emerging research frontiers of A...
Saved in:
| Main Authors: | Mingkai Guo, Di Gong, Weihua Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-11-01
|
| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2024.1489139/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A bibliometric analysis of immunotherapy for atherosclerosis: trends and hotspots prediction
by: Jing-Hui Wang, et al.
Published: (2024-11-01) -
Research Trends and Hotspots on Asthma and Depression: A Bibliometric Analysis
by: Peng G, et al.
Published: (2024-12-01) -
Research hotspots and trends in immunotherapy for cholangiocarcinoma: a bibliometric analysis (2014-2023)
by: Xilin Qu, et al.
Published: (2024-11-01) -
Global Trends and Hotspots in Non-Targeted Screening of Water Pollution Research: Bibliometric and Visual Analysis
by: Yitian Wu, et al.
Published: (2024-11-01) -
Mapping Trends and Hotspots Regarding the Use of Lung Ultrasound in the Field of Anesthesiology: A Bibliometric Analysis of Global Research
by: Jiang W, et al.
Published: (2025-01-01)