Artificial neural networks allow response prediction in squamous cell carcinoma of the scalp treated with radiotherapy.

Giovanni DamianiE GrossiE BertiRosalynn R Z ConicU RadhakrishnaAlessia PacificoN L BragazziR PiccinnoDennis Michael Linder

Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2020)

Patient profiling/phenotyping with machine learning may be a new, helpful method to stratify patients with scalp cSCCs who may benefit from a RT-treatment.

Keyphrases

neural network
squamous cell carcinoma
machine learning
locally advanced
early stage
case report
radiation therapy
artificial intelligence
single cell
radiation induced
deep learning