[HTML][HTML] Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling

YP Zhang, XY Zhang, YT Cheng, B Li, XZ Teng… - Military Medical …, 2023 - Springer
Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives

NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
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 …

[HTML][HTML] Application of radiomics and machine learning in head and neck cancers

Z Peng, Y Wang, Y Wang, S Jiang, R Fan… - … journal of biological …, 2021 - ncbi.nlm.nih.gov
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 …

[HTML][HTML] Machine learning with multimodal data for COVID-19

W Chen, RC Sá, Y Bai, S Napel, O Gevaert… - Heliyon, 2023 - cell.com
In response to the unprecedented global healthcare crisis of the COVID-19 pandemic, the
scientific community has joined forces to tackle the challenges and prepare for future …

[HTML][HTML] Radiomics and radiogenomics in head and neck squamous cell carcinoma: Potential contribution to patient management and challenges

G Bruixola, E Remacha, A Jiménez-Pastor… - Cancer Treatment …, 2021 - Elsevier
The application of imaging biomarkers in oncology is still in its infancy, but with the
expansion of radiomics and radiogenomics a revolution is expected in this field. This may be …

Artificial intelligence for HPV status prediction based on disease‐specific images in head and neck cancer: A systematic review and meta‐analysis

C Song, X Chen, C Tang, P Xue… - Journal of Medical …, 2023 - Wiley Online Library
Accurate early detection of the human papillomavirus (HPV) status in head and neck cancer
(HNC) is crucial to identify at‐risk populations, stratify patients, personalized treatment …

[HTML][HTML] From head and neck tumour and lymph node segmentation to survival prediction on PET/CT: an end-to-end framework featuring uncertainty, fairness, and …

Z Salahuddin, Y Chen, X Zhong, HC Woodruff, NM Rad… - Cancers, 2023 - mdpi.com
Simple Summary Automatic delineation and detection of the primary tumour and lymph
nodes using PET and CT in head and neck cancer can be helpful for diagnosis, prognosis …

[HTML][HTML] Deep learning in head and neck tumor multiomics diagnosis and analysis: review of the literature

X Wang, B Li - Frontiers in Genetics, 2021 - frontiersin.org
Head and neck tumors are the sixth most common neoplasms. Multiomics integrates
multiple dimensions of clinical, pathologic, radiological, and biological data and has the …

Artificial intelligence and deep learning of head and neck cancer

AAKA Razek, R Khaled, E Helmy… - Magnetic …, 2022 - mri.theclinics.com
Imaging has an essential role in the diagnosis, staging, and management of head and neck
cancer (HNC). Conventional computed tomography (CT) and magnetic resonance imaging …

[HTML][HTML] A prospectively validated prognostic model for patients with locally advanced squamous cell carcinoma of the head and neck based on radiomics of computed …

SA Keek, FWR Wesseling, HC Woodruff… - Cancers, 2021 - mdpi.com
Simple Summary Patients that suffer from advanced head and neck cancer have a low
average survival chance. Improving prognosis could improve this survival rate as it may help …