Enhancing Radiotherapy Workflow for Head and Neck Cancer with Artificial Intelligence: A Systematic Review.

ABSTRACT:

Background

Head and neck cancer (HNC) is characterized by complex-shaped tumors and numerous organs at risk (OARs), inducing challenging radiotherapy (RT) planning, optimization, and delivery. In this review, we provided a thorough description of the applications of artificial intelligence (AI) tools in the HNC RT process.

Methods

The PubMed database was queried, and a total of 168 articles (2016-2022) were screened by a group of experts in radiation oncology. The group selected 62 articles, which were subdivided into three categories, representing the whole RT workflow: (i) target and OAR contouring, (ii) planning, and (iii) delivery.

Results

The majority of the selected studies focused on the OARs segmentation process. Overall, the performance of AI models was evalu

SUBMITTER: Franzese C 

PROVIDER: S-EPMC10301548 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature