Work

Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysis

Year: 2023

Type: review

Study designs: Systematic Review, Meta-Analysis

Source: Oral Oncology

DOI: 10.1016/j.oraloncology.2023.106386

Authors: Anna Luíza Damaceno Araújo, Matheus Cardoso Moraes, Maria Eduarda Pérez-de-Oliveira, Viviane Mariano da Silva, Cristina Saldivia-Siracusa, Caique Mariano Pedroso, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Sara Kochanny, Alexander Pearson, Syed Ali Khurram, Luiz Paulo Kowalski, Cesar Augusto Migliorati, Alan Roger Santos-Silva

Institutions: Universidade de São Paulo, Universidade Estadual de Campinas (UNICAMP), Universidade Federal de São Paulo, University of Chicago, University of Chicago Medicine Comprehensive Cancer Center, University of Sheffield, AC Camargo Hospital, University of Florida

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Awards: G1549926448, G7127764454

OpenAlex ID: W4362631144

FWCI: 1.457

Cites: 45

Cited by: 36

Related to: 10