Artificial Intelligence in Head and Neck Surgery.

Area of Science:

• Otolaryngology
• Medical Imaging
• Artificial Intelligence

Background:

• Head and neck cancers pose significant diagnostic and management challenges.
• Traditional diagnostic methods can be time-consuming and may lack precision.
• The integration of advanced technologies is needed to improve patient outcomes.

Purpose of the Study:

• To explore the role of artificial intelligence (AI) in the diagnosis and management of head and neck cancers.
• To review AI applications in image analysis for early detection, prognostication, and treatment planning.
• To discuss the potential and limitations of AI, including radiomics, in otolaryngology.

Main Methods:

• Analysis of clinical, endoscopic, and histopathologic images using AI algorithms.
• Exploration of radiomics for extracting quantitative features from radiologic images.
• Review of AI applications in diagnosis, lymph node metastasis prediction, and treatment response evaluation.

Main Results:

• AI demonstrates significant potential in pattern recognition for early cancer detection.
• AI tools can aid in prognostication and personalized treatment planning.
• Radiomics shows promise in enhancing diagnostic accuracy and predicting treatment outcomes.

Conclusions:

• AI offers substantial promise for advancing head and neck cancer care in otolaryngology.
• Effective implementation requires addressing AI's current limitations.
• Close collaboration between clinicians and data scientists is essential for optimizing AI's clinical utility.