Researchers have revealed the possibility of using artificial intelligence to identify the early signs of the disease by analyzing the tone of the patient, which can open the door for early diagnosis into a simpler and less interference than traditional methods. The study, published in the journal “Fronters in Digal Health”, showed that accurate changes in the sound; Due to crops on vocal cords, this may be an early indication of throat cancer; These crops can be benign such as nodules, fibroids or malignant in their early stages. The research led to Philip Jenkins, a post-PhD fellow at the US Oregon University of Oregon for Health and Science, within the Bridge2AI-Voice project of the National Institutes of Health in the United States, a national initiative to utilize artificial intelligence in solving complex medical challenges. And the voice of man is more than just a means of communication, because it is an important indicator rich in information about the health condition. The sound consists of complex sound signs that depend on the coordination between different important systems in the body, such as the respiratory and nervous system. Any imbalance in these systems can lead to exact changes in the properties of sound, making it a promising tool to detect a wide range of diseases, from Parkinson and dementia to some mental disorders and certain types of cancer. The sound is characterized by an important indication of costs, safe and easy to collect; Sound samples with high quality can be absorbed using smartphones, even in areas with limited resources. The analysis is not only limited to spoken speech, but also extends to other sound indicators such as breathing and coughing sounds, which expand the extent of its use in the diagnosis of diseases such as Corona. The team relied on the first version of the Bridge2AI voice database, which includes 12 thousand and 523 sound recording of 306 participants from North America, including patients with throat cancer, or benign crops in vocal cords, or other disorders such as spastic speech and unilateral sound paralysis. Analyzes showed clear differences in specific sound indicators, especially the harmony for noise (harmonious-to-noise ratio) and the essential sound frequency, between healthy men and men with benign lesions or throat cancer. Although the results have not shown similar differences in women, researchers are likely to be a larger database that can reveal these differences. The researchers emphasized that these indicators can help follow the development of vocal cords and early identification of cancer, giving patients a better opportunity for treatment and survival. “The results are proof of principle,” says Jenksins. “He added that the audio diagnostic tools based on the sound are already tested, and tools are expected to detect the lesions of the vocal cords in the stages of clinical experience in about two years. Throw cancer represents a global healthy burden, in 2021, about 1.1 million cases around the world, with the death of nearly 100,000 people. Time procedures to achieve specialized doctors, which delay the discovery of the disease.
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