Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and
assessment schemes are essential. In recent years, the growing interest toward artificial …

Purpose The incorporation of cone‐beam computed tomography (CBCT) has allowed for
enhanced image‐guided radiation therapy. While CBCT allows for daily 3D imaging, images …

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 …

Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

With the continuous development of medical image informatics technology, more and more
high-throughput quantitative data could be extracted from digital medical images, which has …

Purpose To analyze baseline CT/MR-based image features of salivary glands to predict
radiation-induced xerostomia 3-months after head-and-neck cancer (HNC) radiotherapy …

Objective We aimed to identify optimal machine-learning methods for preoperative
differentiation of sacral chordoma (SC) and sacral giant cell tumour (SGCT) based on 3D …

Head and neck radiotherapy induces important toxicity, and its efficacy and tolerance vary
widely across patients. Advancements in radiotherapy delivery techniques, along with the …

Purpose Xerostomia commonly occurs in patients who undergo head and neck radiation
therapy and can seriously affect patients' quality of life. In this study, we developed a …