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Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
Published on: February 9, 2024
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Global research on artificial intelligence in thyroid-associated ophthalmopathy: A bibliometric analysis
1Department of Health Sciences, National Natural Science Foundation of China, Beijing, China.
Advances in Ophthalmology Practice and Research
|January 10, 2024
Summary
Artificial intelligence (AI) shows significant potential in thyroid-associated ophthalmopathy (TAO). Global research is growing rapidly, with China leading in publications and the US also prominent. Key research areas include radiology and neural networks.
Area of Science:
- Ophthalmology and Medical Imaging
- Artificial Intelligence in Healthcare
Background:
- Thyroid-associated ophthalmopathy (TAO) is a complex autoimmune condition affecting the eye.
- The integration of artificial intelligence (AI) offers new avenues for understanding and managing TAO.
- Bibliometric analysis provides a quantitative overview of research trends and contributions.
Purpose of the Study:
- To conduct a bibliometric analysis of global publications on AI in TAO.
- To identify trends, key players, and research hotspots in this emerging field.
Main Methods:
- Web of Science database was searched for publications from inception to April 2023.
- Analysis included publication and citation trends, country/institutional performance, collaboration, research domains, and leading journals.
- Hotspot identification and evolution were tracked over different time periods.
Main Results:
- A total of 55 publications were analyzed, showing accelerating growth post-2020.
- China leads in publications and institutions, followed by the US; European countries show extensive collaboration.
- Radiology, nuclear medicine & medical imaging is the dominant research domain, with the European Journal of Radiology being a key publication venue.
- Research focus evolved from clinical features to include medical data and AI techniques.
Conclusions:
- AI demonstrates substantial potential in the field of TAO.
- China's research output is significant, supported by funding agencies like NSFC.
- This analysis provides insights into the current landscape and future directions for AI in TAO research.
