An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study.

María Torrente Pedro Alexandre SousaRoberto HernándezMariola BlancoVirginia CalvoAna CollazoGracinda R GuerreiroBeatriz NúñezJoao PimentaoJuan Cristóbal SánchezManuel CamposLuca CostabelloVit NovacekErnestina MenasalvasMaría Esther VidalMariano Provencio Pulla

Published in: Cancers (2022)

Overall, the reconstruction of the population's risk profile for the cancer-specific predictive model was achieved and proved useful in clinical practice using artificial intelligence. It has potential application in clinical settings to improve risk stratification, early detection, and surveillance management of cancer patients.

Keyphrases

artificial intelligence
data analysis
machine learning
big data
deep learning
clinical practice
papillary thyroid
public health
climate change