MACHINE learning models demonstrated moderate performance in predicting acute and late radiation-induced skin reactions in patients with locally advanced rectal cancer receiving neoadjuvant chemoradiotherapy. The retrospective analysis included 358 patients and integrated clinical, anatomical, haematological and dosimetric data.
