References

Artificial intelligence for head and neck squamous cell carcinoma: from diagnosis to treatment

10.1200/edbk-25-472464 · 2025 · External reference

A deep learning fusion network trained with medical records and laryngoscopic images in the early diagnosis of glottic carcinoma

10.1016/j.isci.2025.114231 · 2025 · External reference

Multiparameter MRI-based model integrating radiomics and deep learning for preoperative staging of laryngeal squamous cell carcinoma

10.1038/s41598-025-01270-1 · 2025 · External reference

Enhancing clinical diagnosis of laryngeal cancer through fusion-based transfer learning with osprey optimisation algorithm using histology images

10.3389/fonc.2025.1618349 · 2025 · External reference

Applications and challenges of neural networks in otolaryngology (review)

10.3892/br.2024.1781 · 2024 · External reference

Artificial intelligence in head and neck cancer: a bibliometric and visualization analysis (1995–2025)

10.1007/s12672-025-03992-0 · 2025 · External reference

Deep learning for image analysis in the diagnosis and management of esophageal cancer

10.3390/cancers16193285 · 2024 · External reference

Deep-learning, radiomics and clinic based fusion models for predicting response to infliximab in crohn’s disease patients: a multicentre, retrospective study

10.2147/jir.s484485 · 2024 · External reference

Machine learning in image-based outcome prediction after radiotherapy: a review

10.1002/acm2.14559 · 2025 · External reference

Unresolved reference

External reference

Advancing precision medicine: algebraic topology and differential geometry in radiology and computational pathology

10.1016/j.labinv.2024.102060 · 2024 · External reference

CT-Based Habitat radiomics combining multi-instance learning for early prediction of post-neoadjuvant lymph node metastasis in esophageal squamous cell carcinoma

10.3390/bioengineering12080813 · 2025 · External reference

Current role of artificial intelligence in the management of esophageal cancer

10.3390/jcm14061845 · 2025 · External reference

Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma

10.1186/s13244-024-01851-0 · 2024 · External reference

Artificial intelligence in head and neck surgery

10.1016/j.otc.2024.05.001 · 2024 · External reference

Graph neural network-based multi-label classification of breast cancer using multiparametric MRI and clinical features

10.1007/s12672-025-04359-1 · 2025 · External reference

Deep learning-based multimodal fusion of MRI and whole slide image for predicting neoadjuvant therapy response in locally advanced head and neck squamous cell carcinoma

10.1186/s12880-026-02173-x · 2026 · External reference

Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma

10.1016/j.ebiom.2025.105663 · 2025 · External reference

A vision-language–guided multimodal fusion network for glottic carcinoma early diagnosis: model development and validation study

10.2196/74902 · 2025 · External reference

Unresolved reference

External reference

Real-time detection of laryngopharyngeal cancer using an artificial intelligence-assisted system with multimodal data

10.1186/s12967-023-04572-y · 2023 · External reference

Deep convolution neural network for laryngeal cancer classification on contact endoscopy-narrow band imaging

10.3390/s21238157 · 2021 · External reference

Deep learning applied to white light and narrow band imaging videolaryngoscopy: toward real-time laryngeal cancer detection

10.1002/lary.29960 · 2022 · External reference

Comparison of clinical nasal endoscopy, optical biopsy, and artificial intelligence in early diagnosis and treatment planning in laryngeal cancer: a prospective observational study

10.3389/fonc.2025.1582011 · 2025 · External reference