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Carbon dots meet artificial intelligence: applications in biomedical engineering.

Yalei Guo¹, Yige Liu², Jiajin Yang¹

¹State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China. zhiyongguo@scu.edu.cn.

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|October 9, 2025

Summary

This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing carbon dot (CD) research by optimizing synthesis and improving performance for biomedical applications. This synergy enhances diagnostic capabilities and explores CDs for advanced AI technologies.

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Area of Science:

Nanomaterials Science
Biomedical Engineering
Artificial Intelligence

Background:

Carbon dots (CDs) are versatile fluorescent nanomaterials (<10 nm) with desirable properties like water solubility, low toxicity, and biocompatibility.
CDs show significant promise in bioimaging, sensing, and drug delivery, crucial areas within biomedical engineering.
The integration of AI, including machine learning (ML) and deep learning (DL), offers novel approaches to CD research and application.

Purpose of the Study:

To provide a comprehensive review of AI applications in carbon dot research.
To explore AI-driven advancements in CD synthesis, performance optimization, characterization, and data analysis.
To highlight the potential of AI-assisted CDs in biomedical engineering and their role in future technological advancements.

Main Methods:

Literature review focusing on the intersection of AI and carbon dot research.
Analysis of AI algorithms (ML/DL) applied to CD synthesis, characterization, and application.
Exploration of AI-assisted CD applications in bioimaging, sensing, drug delivery, and advanced computing.

Main Results:

AI significantly enhances the optimization of CD synthesis and performance tuning.
AI facilitates accurate detection and diagnosis through improved CD characterization and data analysis.
AI-driven CDs are poised for impactful applications in biomedical engineering and novel AI technologies.

Conclusions:

The convergence of AI and CDs opens new frontiers in material science and biomedical engineering.
AI-assisted carbon dots offer improved solutions for diagnostics, therapeutics, and advanced computing.
This interdisciplinary field holds substantial promise for future technological innovation and development.