⚡ Quick Summary

This bibliometric analysis explores the transformative role of artificial intelligence (AI) in the early identification and risk evaluation of non-communicable diseases (NCDs), revealing a significant increase in research activity from 2000 to 2024. Key findings highlight AI’s potential in improving predictions for conditions such as heart failure and diabetes.

🔍 Key Details

• 📊 Dataset: 1,745 articles from the Scopus database
• 🧩 Focus: AI applications in early detection and risk assessment of NCDs
• ⚙️ Tools used: Microsoft Excel V.365 and VOSviewer software (V.1.6.20)
• 🏆 Core journals: Scientific Reports, IEEE Access
• 🌍 Leading countries: China, USA, India, UK, Saudi Arabia

🔑 Key Takeaways

• 📈 Research growth: Notable surge in AI-related NCD studies in recent years.
• 🏥 Core institutions: Harvard Medical School and the Ministry of Education of China.
• 💡 Key research hotspots: Alzheimer’s disease, diabetes, and cardiovascular risks.
• 🔍 Risk assessment improvements: Enhanced predictions for heart failure and breast cancer.
• 🌐 Global collaboration: Increasing international research partnerships in AI and healthcare.
• 📚 Future potential: AI’s expanding role in clinical settings for NCD management.

📚 Background

Non-communicable diseases (NCDs) such as heart disease, diabetes, and cancer are leading causes of morbidity and mortality worldwide. Early detection and risk evaluation are crucial for effective management and treatment. The integration of artificial intelligence into healthcare has the potential to revolutionize how we identify and assess these diseases, making it a vital area of research.

🗒️ Study

This study conducted a comprehensive bibliometric analysis of articles published between 2000 and 2024, focusing on the role of AI in the early identification and risk evaluation of NCDs. By utilizing the Scopus database, the researchers aimed to summarize global research trends and highlight significant contributions in this field.

📈 Results

The analysis revealed a total of 1,745 relevant articles, indicating a substantial increase in research activity. Core journals such as Scientific Reports and IEEE Access were identified as leading platforms for this research. The study also highlighted key institutions and countries contributing to the field, with citation trends showing a growing recognition of AI’s impact on NCD management.

🌍 Impact and Implications

The findings underscore the increasing importance of AI in the early detection and risk prediction of NCDs. As research continues to expand, the potential for AI to enhance clinical practices and improve patient outcomes becomes more evident. This could lead to more personalized healthcare strategies and better resource allocation in managing chronic diseases.

🔮 Conclusion

This bibliometric analysis highlights the transformative potential of AI in the realm of non-communicable diseases. As research progresses, the integration of AI technologies into clinical practice promises to enhance early detection and risk assessment, paving the way for improved healthcare outcomes. Continued exploration in this field is essential for realizing the full benefits of AI in medicine.

💬 Your comments

What are your thoughts on the role of AI in healthcare, particularly in the management of non-communicable diseases? We invite you to share your insights and engage in the conversation! 💬 Leave your comments below or connect with us on social media:

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