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The Eye of Horus: Enhancing Head and Neck Cancer Care with Computer Vision
Ke-Ru Shen1, Lei-Ming Cao1, Zi-Zhan Li1
1State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Computer vision (CV) shows great promise for improving head and neck cancer (HNC) management. Further collaboration between healthcare professionals and AI researchers will expand CV applications in HNC treatment.
Area of Science:
- Medical Imaging
- Artificial Intelligence
- Computer Vision
Background:
- Head and neck cancer (HNC) presents significant global treatment challenges.
- Complex anatomy and image interpretation difficulties hinder HNC management.
- Artificial intelligence (AI), especially computer vision (CV), shows potential for HNC improvement.
Purpose of the Study:
- To review CV applications in HNC.
- To discuss CV's advantages and disadvantages in HNC.
Main Methods:
- Narrative review of extensive literature.
- Exploration of CV applications in HNC.
- Comparative analysis of CV's pros and cons.
Main Results:
- CV applications span HNC prevention, diagnosis, treatment, and prognosis.
- Synthesis of CV concepts, workflows, advantages, and disadvantages.
- Facilitation of collaboration between healthcare professionals and AI researchers.
Conclusions:
- CV offers substantial promise for HNC management.
- Enhanced cooperation between clinicians and AI researchers is crucial for CV advancement.
- Algorithm optimization will broaden CV's role in HNC treatment.
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