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Comprehensive bibliometric analysis of advancements in artificial intelligence applications in medicine using Scopus database
13
Zitationen
4
Autoren
2025
Jahr
Abstract
Artificial Intelligence (AI) is transforming healthcare by enhancing efficiency and improving the quality of medical services. This study presents a comprehensive bibliometric analysis of AI’s advancements in medicine from 2017 to 2024, leveraging data from the Scopus database. Utilizing advanced bibliometric tools such as Bibliometrix and VOSviewer, we analyzed 6900 scholarly articles to uncover key trends, significant contributions, and emerging research areas in AI-driven medical applications. Our findings demonstrate a remarkable increase in AI research, particularly in deep learning and machine learning technologies, with substantial impacts on diagnostics, personalized medicine, and disease management. The United States and China emerged as leaders in research output, underscoring their robust research infrastructure and funding. This analysis provides valuable insights for researchers, healthcare professionals, highlighting the critical role of ongoing research and international collaboration in addressing complex healthcare challenges and driving future innovations in AI and medicine.
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