Machine Learning to Predict Treatment in Oropharyngeal Squamous Cell Carcinoma

Conclusion: This study created a ML model utilizing clinical variables to predict primary treatment modality for T1 –2, N0–N1 OPSCC. This study demonstrates how ML can be used for prediction modeling while also highlighting that tumor and facility realted variables impact the decision making process on a national level.ORL
Source: ORL - Category: ENT & OMF Source Type: research