Artificial Intelligence in Head and Neck Cancer

Abstract

Abstract High-throughput technologies enable the generation of large amounts of biological data and support novel precision medicine approaches. The ability to create large databases of patient-derived data concerning treatment, diagnosis, demographics, and omics profiles means that a vast amount of data is available that can be used to help manage diseases. However, the use of this data can be time-consuming and can be influenced by user bias. Artificial intelligence (AI) provides a solution to these problems by allowing for the accurate, rapid, largely unbiased, and reproducible interpretation of biological data. Limitations to the application of AI revolve around the black box problem, the inadequacies of current databases, and the validation status of many models. This chapter reviews the use of AI in the management of head and neck squamous cell carcinomas (HNSCC) by promoting the development of precision medicine and examines the limitations of AI in this regard.

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