14Jul 2022
Artificial Intelligence and Laryngeal Cancer: From Screening to Prognosis: A State of the Art Review

Artificial Intelligence and Laryngeal Cancer: From Screening to Prognosis: A State of the Art Review

This state-of-the-art review examines advances in artificial intelligence applications (AI) to screen, detect, manage, and prognosticate laryngeal cancer (LC). AI applications in LC have encompassed a variety of data modalities, including radiomics, genomics, acoustics, clinical data, and videomics, to support screening, diagnosis, therapeutic decision-making, and prognosis. However, most studies remain at the proof-of-concept level, as AI algorithms are trained on single-institution databases with limited data sets and a single data modality. Implications for Practice AI algorithms in LC will need to be trained on large multi-institutional data sets and integrate multimodal data for optimal performance and clinical utility from screening to prognosis.

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