⚡ Quick Summary
A recent bibliometric analysis highlights the dynamic growth of artificial intelligence (AI) in oral cancer research over the past three decades, analyzing 351 articles from 1998 to 2024. This study underscores the transformative impact of AI on data analysis and predictive capabilities in oncology.
🔍 Key Details
- 📊 Dataset: 351 articles from SCOPUS
- 🗓️ Timeframe: 1998 to 2024
- ⚙️ Technology: Artificial Intelligence
- 📈 Analysis Tool: VOSviewer
🔑 Key Takeaways
- 📈 Significant growth in AI applications within oral cancer research.
- 💡 Enhanced data analysis and predictive capabilities through AI integration.
- 🌍 Valuable insights for policymakers and funding agencies.
- 🤝 Improved decision-making between patients and clinicians.
- 📚 Comprehensive overview of AI’s role in oncology over three decades.
- 🔍 Increasing interest in AI technologies among researchers.
- 🏆 High citation rates reflect the impact of this research field.
📚 Background
Oral cancer (OC) remains a significant health challenge globally, affecting both developed and developing nations. The integration of artificial intelligence into oncology has revolutionized how researchers analyze complex datasets, infer patterns, and predict patient outcomes. This shift is crucial for enhancing patient care and clinical decision-making.
🗒️ Study
The bibliometric analysis conducted by Sufiawati et al. aimed to provide a thorough examination of the application of AI in oral cancer research over the last three decades. By analyzing 351 articles retrieved from SCOPUS, the researchers utilized VOSviewer to visualize trends and patterns in publications and citations, revealing the growing significance of AI in this field.
📈 Results
The analysis revealed a dynamic growth in the number of publications and citations related to AI in oral cancer research. This trend indicates a rising interest and impact of AI technologies, suggesting that researchers are increasingly recognizing the potential of AI to enhance their work in oncology.
🌍 Impact and Implications
The findings from this study provide critical insights for policymakers, funding agencies, and researchers, guiding future efforts to integrate AI technologies into oral oncology practices. As AI continues to evolve, its application in oral cancer research could lead to improved patient outcomes and more effective treatment strategies.
🔮 Conclusion
This bibliometric analysis highlights the transformative potential of artificial intelligence in oral cancer research. By enhancing data analysis and predictive capabilities, AI is set to play a pivotal role in the future of oncology. Continued research and investment in this area are essential for advancing patient care and clinical practices.
💬 Your comments
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A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades.
Abstract
Oral cancer (OC) remains a significant malignant neoplasm in both the developed and developing world. Artificial intelligence (AI) has had a significant impact on scientific disciplines, including oncology by transforming data analysis and predictive capabilities. Recent advancements in AI have enabled researchers to integrate and synthesize multidimensional datasets, infer patterns, and predict outcomes, ultimately enhancing shared decision-making between patients and clinicians. This bibliometric analysis aims to provide a comprehensive overview of the application of AI in OC research over the last three decades. Our analysis of 351 articles retrieved from SCOPUS between 1998 and 2024 using VOSviewer highlights the dynamic growth of AI in OC research. The significant trends in publications and citations reflect the increasing interest and impact of this field. These findings provide valuable insights for policymakers, funding agencies, and researchers, guiding future efforts to integrate AI technologies into oral oncology practices.
Author: [‘Sufiawati I’, ‘Insyafiana A’, ‘Rahman R’, ‘Idris A’]
Journal: Discov Oncol
Citation: Sufiawati I, et al. A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades. A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades. 2025; 16:1432. doi: 10.1007/s12672-025-03293-6