<ul><li>Cases of throat cancer are increasing globally, emphasizing the importance of early detection.</li><li>Artificial intelligence (AI) and machine learning (ML) can help in detecting throat cancer from speech signals.</li><li>A scoping literature review evaluated the performance of AI and ML in classifying speech signals of throat cancer patients.</li><li>Open-source code and standardization of methodologies are needed for further development in this field.</li></ul>

Detecting Throat Cancer from Speech Signals using Machine Learning: A Scoping Literature Review

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