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1.
Int Ophthalmol ; 44(1): 258, 2024 Jun 23.
Artigo em Inglês | MEDLINE | ID: mdl-38909343

RESUMO

PURPOSE: To analyze the hotspots and trends in artificial intelligence (AI) research in the field of cataracts. METHODS: The Science Citation Index Expanded of the Web of Science Core Collection was used to collect the research literature related to AI in the field of cataracts, which was analyzed for valuable information such as years, countries/regions, journals, institutions, citations, and keywords. Visualized co-occurrence network graphs were generated through the library online analysis platform, VOSviewer, and CiteSpace tools. RESULTS: A total of 222 relevant research articles from 41 countries were selected. Since 2019, the number of related articles has increased significantly every year. China (n = 82, 24.92%), the United States (n = 55, 16.72%) and India (n = 26, 7.90%) were the three countries with the most publications, accounting for 49.54% of the total. The Journal of Cataract and Refractive Surgery (n = 13, 5.86%) and Translational Vision Science & Technology (n = 10, 4.50%) had the most publications. Sun Yat-sen University (n = 25, 11.26%), the Chinese Academy of Sciences (n = 17, 7.66%), and Capital Medical University (n = 16, 7.21%) are the three institutions with the highest number of publications. We discovered through keyword analysis that cataract, diagnosis, imaging, classification, intraocular lens, and formula are the main topics of current study. CONCLUSIONS: This study revealed the hot spots and potential trends of AI in terms of cataract diagnosis and intraocular lens power calculation. AI will become more prevalent in the field of ophthalmology in the future.


Assuntos
Inteligência Artificial , Bibliometria , Catarata , Humanos , Inteligência Artificial/tendências , Extração de Catarata/tendências , Extração de Catarata/estatística & dados numéricos , Oftalmologia/tendências , Pesquisa Biomédica/tendências , Pesquisa Biomédica/estatística & dados numéricos
2.
Bull Environ Contam Toxicol ; 104(1): 128-133, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-31728557

RESUMO

Ethylenediaminetetraacetic acid disodium salt (EDTA) was selected among various eluents due to its highest removal efficiency for lead (Pb) (43.7%) and zinc (Zn) (57.1%) leaching from Pb-Zn contaminated soil by soil column experiment. Compared with newly prepared EDTA eluent, using recycled EDTA eluent can still leaching down 71.1% of Pb and 63.2% of Zn respectively, which showed the reusable benefits of recycled EDTA eluent. After soils were leached by EDTA, soil quality decline, such as reducing of urease, catalase, invertase activities and microorganism numbers. However, adding 5% nutrition soil or earthworm fertilizer can significantly improve the quality of EDTA leached soil, and promote growth of peas and ryegrass compared with EDTA treatments. Overall, the improvement of EDTA leached soil by adding nutrition soil or earthworm fertilizer is important, and recycled EDTA eluent can recycle and re-use for Pb-Zn contaminated soil remediation.


Assuntos
Recuperação e Remediação Ambiental/métodos , Reciclagem , Poluentes do Solo/análise , Ácido Edético/química , Solo , Zinco/química
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