Objective Over the past years, the application of artificial intelligence (AI) in medicine has
increased rapidly, especially in diagnostics, and in the near future, the role of AI in medicine …

Radiomics is a recent area of research in precision medicine and is based on the extraction
of a large variety of features from medical images. In the field of radiation oncology …

Background: Although many works have supported the utility of PET radiomics, several
authors have raised concerns over the robustness and replicability of the results. This study …

Background and purpose To establish and validate a hybrid radiomics model to predict
overall survival in cervical cancer patients receiving concurrent chemoradiotherapy (CCRT) …

The objective of this review was to summarize published radiomics studies dealing with
infradiaphragmatic cancers, blood malignancies, melanoma, and musculoskeletal cancers …

Medical images represent the main source of information for radiotherapy (RT) planning.
Historically, medical images have been utilized to qualitatively and quantitatively access the …

Patient imaging plays a critical role in the radiotherapy treatment process, and the use of
deep learning computer vision techniques to develop artificial intelligence tools to aid clinics …

Au-delà des techniques conventionnelles de diagnostic et de suivi du cancer, l'analyse
radiomique a pour objectif de permettre une médecine plus personnalisée dans le domaine …

Background: Although many works have supported the utility of PET radiomics, several
authors have raised concerns over the robustness and replicability of the results. This study …

The purpose of this study is to facilitate the patient to know the prediction of the risk level of
cervical cancer so that if identified high disease risk level, patients can contact the hospital in …