As in some other sites of the head and neck, a broad range of tumours can arise in the
nasopharynx: epithelial, mesenchymal, lymphoid, and neuro-ectodermal. However …

Artificial intelligence (AI) is an interdisciplinary field that encompasses a wide range of
computer science disciplines, including image recognition, machine learning, human …

Objectives Optimizing a machine learning (ML) pipeline for radiomics analysis involves
numerous choices in data set composition, preprocessing, and model selection. Objective …

Background and purpose To investigate the radiomic feature (RF) repeatability via
perturbation and its impact on cross-institutional prognostic model generalizability in …

Background Accurate pretreatment prediction for disease progression of nasopharyngeal
carcinoma is key to intensify therapeutic strategies to high-risk individuals. Our aim was to …

Background Dose adjuvant chemotherapy (AC) should be offered in nasopharyngeal
carcinoma (NPC) patients? Different guidelines provided the different recommendations …

Simple Summary In the past, radiomics studies of nasopharyngeal carcinoma (NPC) were
only based on basic MR sequences. Previous studies have shown that radiomics methods …

Era revolusi industri 4.0 dengan penggunaan Internet of Thing, big data, dan Artificial
Intelligence mendorong pertanian presisi ke tingkat yang lebih lanjut (next generation …

Nasopharyngeal carcinoma (NPC) is a head and neck epithelial carcinoma that is unusually
prevalent in Southeast Asia. Noncoding RNAs, including lncRNA and miRNA, and their …

This review article highlights the potential of integrating photon-counting computed
tomography (CT) and deep learning algorithms in medical imaging to enhance diagnostic …