Application of Artificial Intelligence (AI) in Laryngeal Cancer

The application of artificial intelligence (AI) in laryngeal cancer (LC) has the potential to improve accuracy and efficiency diagnosis treatment, as well aid predicting patient prognosis personalized therapy. AI LC expanded include various data modalities, enabling support for screening, diagnosis, therapeutic decision-making, prognosis. This multidimensional approach utilizes following modalities: 1) Videomics: algorithms can analyze video recordings endoscopy or surgical procedures treatment planning. 2) Radiomics: extract quantitative features from medical imaging data, such computed tomography (CT) scans magnetic resonance (MRI), assist screening diagnosis. 3) Acoustics: AI-based acoustic analysis techniques assess vocal characteristics patterns patients. 4) Clinical data: integrate clinical including demographics, history, laboratory results, staging, decision-making. 5) Genomics: by integrating genomic gene expression profiles DNA sequencing with algorithms, researchers identify molecular markers associated LC. By considering factors, tumor characteristics, stage, individual provide insights optimize strategies outcomes. However, it is crucial emphasize that should not replace healthcare professionals but rather serve a supportive tool. Here, published papers on applied are reviewed useful information provided readers.