Ontology highlight
ABSTRACT:
SUBMITTER: Isaksson LJ
PROVIDER: S-EPMC7289968 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Isaksson Lars J LJ Pepa Matteo M Zaffaroni Mattia M Marvaso Giulia G Alterio Daniela D Volpe Stefania S Corrao Giulia G Augugliaro Matteo M Starzyńska Anna A Leonardi Maria C MC Orecchia Roberto R Jereczek-Fossa Barbara A BA
Frontiers in oncology 20200605
In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and assessment schemes are essential. In recent years, the growing interest toward artificial intelligence and machine learning (ML) within the science community has led to the implementation of innovative tools in RT. Several researchers have demonstrated the high performance of ML-based models in predicting toxicity, but the application of these approaches in clinics is still lagging, partly due to their lo ...[more]