MRI is undoubtedly the cornerstone of brain tumor imaging, playing a key role in all phases
of patient management, starting from diagnosis, through therapy planning, to treatment …

Head and neck tumor differential diagnosis and prognosis have always been a challenge for
oral pathologists due to their similarities and complexity. Artificial intelligence novel …

Gliomas are infiltrative brain tumors that often involve functional tissue. While maximal safe
resection is critical for maximizing survival, this is challenged by the difficult intraoperative …

Artificial Intelligence (AI) is the subject of a challenge and attention in the field of oncology
and raises many promises for preventive diagnosis, but also fears, some of which are based …

Gliomas constitute a diverse and complex array of tumors within the central nervous system
(CNS), characterized by a wide range of prognostic outcomes and responses to therapeutic …

Background and Objectives: Survival estimation for patients diagnosed with Glioblastoma
(GBM) is an important information to consider in patient management and communication …

Gliomas, the most prevalent primary malignant tumors of the central nervous system, present
significant challenges in diagnosis and prognosis. The fifth edition of the World Health …

Objectives The diagnosis and treatment of brain tumors have greatly benefited from
extensive research in traditional radiomics, leading to improved efficiency for clinicians. With …

The classification of diffuse gliomas has undergone substantial changes over the last
decade, starting with the 2016 World Health Organisation (WHO) classification, which …

Background: Multiple radiomics models have been proposed for grading glioma using
different algorithms, features, and sequences of magnetic resonance imaging. The research …