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Artificial intelligence in biomaterials for oral oncology
Xiao-Yu Miao1, Lei Chen2, Shu-Han Zhang1
1National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Department of Prosthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, China.
Artificial intelligence (AI) and biomaterials are revolutionizing oral cancer management. AI enhances early detection, targeted therapies, and tissue repair for oral potentially malignant disorders (OPMDs), improving patient outcomes.
Area of Science:
- Biomedical Engineering
- Oncology
- Artificial Intelligence
Background:
- Oral cancer and potentially malignant disorders (OPMDs) present diagnostic and therapeutic challenges.
- Current methods lack sensitivity, specificity, and functional restoration capabilities.
- Biomaterials offer versatile solutions but face limitations in personalization and efficacy.
Purpose of the Study:
- To review recent advances in AI-enabled biomaterials for oral oncology.
- To highlight innovations in early detection, targeted therapy, and postoperative repair.
- To discuss challenges and future directions in AI and biomaterial integration for OPMDs.
Main Methods:
- Review of current literature on AI and biomaterials in oral cancer.
- Analysis of AI applications in biosensing, radiomics, drug delivery, and scaffold fabrication.
- Discussion of machine learning and data-driven modeling in biomaterial design.
Main Results:
- AI enhances diagnostic accuracy through biosensing and radiomic analysis.
- AI guides rational design of drug carriers and optimizes dosing regimens.
- AI facilitates computer-aided scaffold fabrication for maxillofacial reconstruction.
Conclusions:
- AI-enabled biomaterials offer precise, efficient, and personalized solutions for oral cancer.
- Integration of AI and biomaterials holds significant potential for improved oral oncology care.
- Addressing data quality, model generalizability, and regulatory oversight is crucial for clinical translation.
