Simple Summary Lymphoma is a type of cancer that affects the immune system and can be
difficult to diagnose and treat effectively, especially in the early stages. Current imaging …

Nuclear medicine has continuously evolved since its beginnings, constantly improving the
diagnosis and treatment of various diseases. The integration of artificial intelligence (AI) is …

Purpose Clinical risk scores are essential for predicting outcomes in stroke patients. The
advancements in deep learning (DL) techniques provide opportunities to develop prediction …

Background: Positron emission tomography (PET) is a valuable tool for the assessment of
lymphoma, while artificial intelligence (AI) holds promise as a reliable resource for the …

Diffuse large B-cell lymphoma (DLBCL) is a highly heterogeneous hematological
malignancy resulting in a range of outcomes, and the early prediction of these outcomes has …

Purpose We sought to develop an effective combined model for predicting the survival of
patients with diffuse large B-cell lymphoma (DLBCL) based on the multimodal PET-CT deep …

Background The incidence of diffuse large B-cell lymphoma (DLBCL) in children is
increasing globally. Due to the immature immune system in children, the prognosis of …

Lymphoma, encompassing a wide spectrum of immune system malignancies, presents
significant complexities in its early detection, management, and prognosis assessment since …

Follicular lymphoma (FL) is a non-Hodgkin lymphoma and an indolent B-cell
lymphoproliferative disorder of transformed follicular center B cells. In the diagnosis, FL …

Objectives: The current study sought to determine the potential use of the CT radiomics
model in predicting overall survival in DLBCL patients. Methods: The CT images and clinical …