首页|McMaster University Reports Findings in Artificial Intelligence [Bibliometric analysis of the 3-year trends (2018-2021) in literature on artifici al intelligence in ophthalmology and vision sciences]

McMaster University Reports Findings in Artificial Intelligence [Bibliometric analysis of the 3-year trends (2018-2021) in literature on artifici al intelligence in ophthalmology and vision sciences]

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report.According to news reporting out of Hamilton,Canad a,by NewsRx editors,research stated,"The objective of this analysis is to pre sent a current view of the field of ophthalmology and vision research and artifi cial intelligence (AI) from topical and geographical perspectives.This will cla rify the direction of the field in the future and aid clinicians in adapting to new technological developments." Our news journalists obtained a quote from the research from McMaster University,"A comprehensive search of four different databases was conducted.Statistical and bibliometric analysis were done to characterise the literature.Softwares u sed included the R Studio bibliometrix package,and VOSviewer.A total of 3939 a rticles were included in the final bibliometric analysis.Diabetic retinopathy ( 391,6% of the top 100 keywords) was the most frequently occurring indexed keyword by a large margin.The highest impact literature was produced b y the least populated countries and in those countries who collaborate internati onally.This was confirmed via a hypothesis test where no correlation was found between gross number of published articles and average number of citations (p va lue=0.866,r=0.038),while graphing ratio of international collaboration against average citations produced a positive correlation (r=0.283).Majority of public ations were found to be concentrated in journals specialising in vision and comp uter science,with this category of journals having the highest number of public ations per journal (18.00 publications/journal),though they represented a small proportion of the total journals (<1%)."

HamiltonCanadaNorth and Central Amer icaArtificial IntelligenceEmerging TechnologiesHealth and MedicineMachin e LearningOphthalmology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.12)