Cancer Genetics and Epigenetics, 2025, Vol.13, No.2, 98-105 http://medscipublisher.com/index.php/cge 103 In addition, it is not so easy to apply these technologies to everyday medicine. Hospitals and doctors need to adapt their old workflows to accommodate these new devices. This requires not only technical connection, but also change of original operating habits, which is not easy to achieve in many hospitals (Coole et al., 2016; Boonstra et al., 2017). 6 Future Directions and Research Prospects for Multimodal Imaging Techniques in Oral Cancer 6.1 Integration of emerging technologies The combination of big data analysis and multimodal imaging in artificial intelligence (AI) can improve the accuracy of oral cancer diagnosis. Artificial intelligence can automatically analyze images, can label tumor areas, and provide predictive information to help physicians develop faster and more accurate diagnosis and treatment plans (Zong et al., 2024). Ai algorithms can also combine images from different imaging modalities to give doctors a more complete picture of tumor shape and function, can detect oral cancer cells earlier, thereby improving cure rates (Yankelov et al., 2014). Big data analytics can also help, processing large amounts of imaging data and perhaps finding previously invisible patterns. This may help in the development of more personalized diagnosis and treatment protocols, perhaps leading to the discovery of new markers of early cancer (Zong et al., 2024). The combination of artificial intelligence, big data and multimodal imaging is a convenient and powerful tool in the diagnosis and treatment of oral cancer. 6.2 Personalized treatment and precision medicine Now, doctors are beginning to experiment with multimodal imaging to formulate more personalized treatments. Through the combination of different imaging methods, doctors can better understand the specific situation of the tumor, which is very helpful in formulating an individualized treatment plan (Yankeelov et al., 2014; Wang et al., 2016). This can target cancer cells with precision, while protecting healthy tissue as much as possible and minimizing side effects. In addition, multimodal imaging can help doctors understand the specific location, development stage and treatment effect of tumors , so that doctors can arrange treatment according to the specific conditions of each patient, thus improving the effectiveness of treatment. In the future, as these technologies continue to evolve, multimodal imaging will become an important tool for personalized therapy (Wang et al., 2016). 6.3 Multidisciplinary collaboration and clinical transformation The future development of oral cancer multimodal imaging is inseparable from multidisciplinary cooperation and clinical transformation of scientific research results. Experts in imaging technology, oncology, pathology, bioinformatics and other aspects work together to develop a new imaging system suitable for clinical use , which can bring more innovative imaging technologies and accelerate the speed of scientific research results into the clinic (Tempany et al., 2015). Clinical translation is a bridge that brings laboratory research to the hospital. It can help new technologies be put into practice as quickly as possible (Tempany et al., 2015). This not only gives patients early access to new tools, but also pushes the technology forward. Through multidisciplinary cooperation and translational research, multimodal imaging will play an increasingly important role in the diagnosis and treatment of oral cancer. 7 Concluding Remarks Multimodal imaging has many advantages in the diagnosis of oral cancer, using several different imaging methods to provide more comprehensive information. This combined imaging method provides chemical, structural, and functional data to more accurately detect cancerous tissue. The system combining fluorescence lifetime imaging (FLIm) and optical coherence Tomography (OCT) performed better than using the two methods alone, achieving 87.4 percent accuracy. An Active biopsy-guided system (ABGS), which displays a cancer risk map directly on the oral mucosa, helps doctors make quick decisions. This technology can more accurately identify and characterize disease areas, allowing cancer to be detected earlier, leading to better treatment outcomes for patients.
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