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Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Nian-Nian Zhong1, Han-Qi Wang1, Xin-Yue Huang1
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 430079, China.
Seminars in Cancer Biology
|July 20, 2023
Summary
Artificial intelligence (AI) offers promising advancements in managing head and neck tumors (HNTs). AI integration in medical imaging and treatment planning can enhance precision and patient outcomes.
Area of Science:
- Oncology
- Medical Informatics
- Artificial Intelligence
Background:
- Head and neck tumors (HNTs) present complex treatment challenges due to intricate anatomy.
- Current therapeutic efficacy for HNTs remains limited despite various treatment options.
Purpose of the Study:
- To review the latest advancements and potential applications of artificial intelligence (AI) in head and neck tumor management.
- To highlight AI's crucial role in HNT prevention, diagnosis, treatment, prognostication, and research.
Main Methods:
- Review of cutting-edge AI applications in healthcare, focusing on machine learning (ML), neural networks (NNs), and deep learning (DL).
- Exploration of AI integration in medical imaging, bioinformatics, and medical robotics for HNTs.
Main Results:
- AI demonstrates potential to improve precision, safety, and efficacy in HNT treatment regimens.
- AI integration spans multiple facets of HNT management, from early detection to post-treatment analysis.
Conclusions:
- AI is poised to significantly impact the future of head and neck tumor care.
- Further research and scholarly discourse are encouraged to harness AI for superior patient outcomes in HNTs.
