Barsouk A, Aluru JS, Rawla P et al (2023) Epidemiology, Risk Factors, and Prevention of Head and Neck Squamous Cell Carcinoma. Medical Sciences 11:42. https://doi.org/10.3390/medsci11020042

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bray F, Laversanne M, Sung H et al (2024) Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. https://doi.org/10.3322/caac.21834

Article  PubMed  Google Scholar 

Chow LQM (2020) Head and Neck Cancer. New England Journal of Medicine 382:60–72. https://doi.org/10.1056/NEJMra1715715

Article  CAS  PubMed  Google Scholar 

Lacas B, Carmel A, Landais C et al (2021) Meta-analysis of chemotherapy in head and neck cancer (MACH-NC): An update on 107 randomized trials and 19,805 patients, on behalf of MACH-NC Group. Radiotherapy and Oncology 156:281–293. https://doi.org/10.1016/j.radonc.2021.01.013

Article  PubMed  PubMed Central  Google Scholar 

Laskar SG, Sinha S, Krishnatry R et al (2022) Access to Radiation Therapy: From Local to Global and Equality to Equity. JCO Glob Oncol. https://doi.org/10.1200/go.21.00358

Article  PubMed  PubMed Central  Google Scholar 

Liu P, Sun Y, Zhao X, Yan Y (2023) Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis. Biomed Eng Online 22:1–24. https://doi.org/10.1186/s12938-023-01159-y

Article  Google Scholar 

Ouyang Z, Liu S, Murray E et al (2019) Evaluation of auto-planning in IMRT and VMAT for head and neck cancer. J Appl Clin Med Phys 20:39–47. https://doi.org/10.1002/acm2.12652

Article  PubMed  PubMed Central  Google Scholar 

Ahervo H, Korhonen J, Lim Wei Ming S et al (2023) Artificial intelligence-supported applications in head and neck cancer radiotherapy treatment planning and dose optimisation. Radiography 29:496–502. https://doi.org/10.1016/j.radi.2023.02.018

Article  CAS  PubMed  Google Scholar 

Jensen K, Friborg J, Hansen CR et al (2020) The Danish Head and Neck Cancer Group (DAHANCA) 2020 radiotherapy guidelines. Radiotherapy and Oncology 151:149–151. https://doi.org/10.1016/j.radonc.2020.07.037

Article  PubMed  Google Scholar 

Biau J, Lapeyre M, Troussier I et al (2019) Selection of lymph node target volumes for definitive head and neck radiation therapy: a 2019 Update. Radiotherapy and Oncology 134:1–9. https://doi.org/10.1016/j.radonc.2019.01.018

Article  PubMed  Google Scholar 

ICRU (2010) ICRU Report 83: Prescribing, Recording, and Reporting Photon-Beam Intensity-Modulated Radiation Therapy (IMRT). J ICRU. https://doi.org/10.1093/jicru/ndq025

Article  Google Scholar 

Petkar I, Rooney K, Roe JWG et al (2016) DARS: A phase III randomised multicentre study of dysphagia- optimised intensitymodulated radiotherapy (Do-IMRT) versus standard intensity- modulated radiotherapy (S-IMRT) in head and neck cancer. BMC Cancer 16:1–10. https://doi.org/10.1186/s12885-016-2813-0

Article  Google Scholar 

Zhong H, Men K, Wang J et al (2019) The impact of clinical trial quality assurance on outcome in head and neck radiotherapy treatment. Front Oncol. https://doi.org/10.3389/fonc.2019.00792

Article  PubMed  PubMed Central  Google Scholar 

van der Veen J, Gulyban A, Willems S et al (2021) Interobserver variability in organ at risk delineation in head and neck cancer. Radiation Oncology. https://doi.org/10.1186/s13014-020-01677-2

Article  PubMed  PubMed Central  Google Scholar 

Liu P, Sun Y, Zhao X, Yan Y (2023) Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis. Biomed Eng Online 22:1–24. https://doi.org/10.1186/s12938-023-01159-y

Article  Google Scholar 

Ouyang Z, Liu S, Murray E et al (2019) Evaluation of auto-planning in IMRT and VMAT for head and neck cancer. J Appl Clin Med Phys 20:39–47. https://doi.org/10.1002/acm2.12652

Article  PubMed  PubMed Central  Google Scholar 

Ahervo H, Korhonen J, Lim Wei Ming S et al (2023) Artificial intelligence-supported applications in head and neck cancer radiotherapy treatment planning and dose optimisation. Radiography 29:496–502. https://doi.org/10.1016/j.radi.2023.02.018

Article  CAS  PubMed  Google Scholar 

Barragán-Montero AM, Van Ooteghem G, Dumont D et al (2023) Dosimetrically triggered adaptive radiotherapy for head and neck cancer: Considerations for the implementation of clinical protocols. J Appl Clin Med Phys. https://doi.org/10.1002/acm2.14095

Article  PubMed  PubMed Central  Google Scholar 

D’Aviero A, Re A, Catucci F et al (2022) Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph19159057

Article  PubMed  PubMed Central  Google Scholar 

Marin Anaya V (2023) Artificial intelligence based auto-contouring solutions for use in radiotherapy treatment planning of head and neck cancer. IPEM-Translation 6–8:100018. https://doi.org/10.1016/j.ipemt.2023.100018

Article  Google Scholar 

Gao Y, Kyun Park Y, Jia X (2024) Human-like intelligent automatic treatment planning of head and neck cancer radiation therapy. Phys Med Biol. https://doi.org/10.1088/1361-6560/ad4b90

Article  PubMed  PubMed Central  Google Scholar 

Olanrewaju A, Court LE, Zhang L et al (2021) Clinical Acceptability of Automated Radiation Treatment Planning for Head and Neck Cancer Using the Radiation Planning Assistant. Pract Radiat Oncol 11:177–184. https://doi.org/10.1016/j.prro.2020.12.003

Article  PubMed  PubMed Central  Google Scholar 

Weissmann T, Huang Y, Fischer S et al (2023) Deep learning for automatic head and neck lymph node level delineation provides expert-level accuracy. Front Oncol. https://doi.org/10.3389/fonc.2023.1115258

Article  PubMed  PubMed Central  Google Scholar 

Muti G, Felisi MMJ, Monti AF et al (2025) Proof of concept of fully automated adaptive workflow for head and neck radiotherapy treatments with a conventional linear accelerator. Front Oncol. https://doi.org/10.3389/fonc.2025.1382537

Article  PubMed  PubMed Central  Google Scholar 

Chung CV, Khan MS, Olanrewaju A et al (2025) Knowledge-based planning for fully automated radiation therapy treatment planning of 10 different cancer sites. Radiotherapy and Oncology. https://doi.org/10.1016/j.radonc.2024.110609

Article  PubMed  Google Scholar 

IAEA (2025) How can artificial intelligence support head and neck cancer treatment. https://www.iaea.org/newscenter/news/how-can-artificial-intelligence-support-head-and-neck-cancer-treatment

Rasmussen ME, Akbarov K, Titovich E et al (2024) Potential of E‑Learning Interventions and Artificial Intelligence–Assisted Contouring Skills in Radiotherapy: The ELAISA Study. JCO Glob Oncol. https://doi.org/10.1200/go.24.00173

Article  PubMed  PubMed Central  Google Scholar