Applications of Artificial Intelligence Based on Medical Imaging in Glioma: Current State and Future Challenges.

ABSTRACT: Glioma is one of the most fatal primary brain tumors, and it is well-known for its difficulty in diagnosis and management. Medical imaging techniques such as magnetic resonance imaging (MRI), positron emission tomography (PET), and spectral imaging can efficiently aid physicians in diagnosing, treating, and evaluating patients with gliomas. With the increasing clinical records and digital images, the application of artificial intelligence (AI) based on medical imaging has reduced the burden on physicians treating gliomas even further. This review will classify AI technologies and procedures used in medical imaging analysis. Additionally, we will discuss the applications of AI in glioma, including tumor segmentation and classification, prediction of genetic markers, and prediction of treatm

SUBMITTER: Xu J 

PROVIDER: S-EPMC9363668 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature