The past three decades have borne witness to many advances in the understanding of the
molecular biology and treatment of nasopharyngeal carcinoma (NPC), an Epstein–Barr virus …

Over the past decade, artificial intelligence (AI) has contributed substantially to the resolution
of various medical problems, including cancer. Deep learning (DL), a subfield of AI, is …

The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …

Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumours of the
head and neck, and improving the efficiency of its diagnosis and treatment strategies is an …

Nasopharyngeal carcinoma is a common head and neck malignancy with distinct clinical
management compared to other types of cancer. Precision risk stratification and tailored …

Purpose: Accurate prognostic stratification of patients with oropharyngeal squamous cell
carcinoma (OPSCC) is crucial. We developed an objective and robust deep learning–based …

Nasopharyngeal carcinoma (NPC) is a malignant tumor that often occurs in Southeast Asia
and southern China. Since there is a need for a more precise personalized therapy plan that …

Objective We aimed to establish an MRI radiomics model and a Delta radiomics model to
predict tumor retraction after induction chemotherapy (IC) combined with concurrent …

Background To investigate the ability of the CT-based radiomics models for pretreatment
prediction of the response to neoadjuvant chemotherapy (NAC) in patients with locally …

Due primarily to the excellent soft tissue contrast depictions provided by MRI, the
widespread application of head and neck MRI in clinical practice serves to assess various …