Application of artificial intelligence in head and neck squamous cell carcinoma

Comprehensive Summary

Head and neck squamous cell carcinoma (HNSCC) is a a prevalent malignancy characterized by ineffective screening processes for early detection and limited therapeutic options, especially in advanced diseases. This review examined different AI applications in advancing cancer treatment for HNSCC, with emphasis on its role in predicting patient outcomes, assessing sensitivity to immunotherapy, and identifying novel biomarkers. The findings indicate that AI is a promising tool for improving predictive accuracy and discovering relevant biomarkers and therapeutic targets. Despite these advantages, several limitations were addressed, including privacy concerns when dealing with large-scale medical datasets, transparency in AI's decision making, and ensuring equitable performance across diverse patient populations. Overall, the application of AI in HNSCC immunotherapy, and oncology as a whole, is rapidly advancing, however there are still many logistical challenges that need to be addressed before the integration of these technologies into clinical practice.

Outcomes and Implications

Given the current limitations in immunotherapy response and screening processes for head and neck squamous cell carcinoma, integrating AI into clinical practice may improve personalized treatment approaches and patient outcomes.