A new scientific study has revealed that artificial intelligence (AI) can identify subtle signals hidden in the human voice that may indicate various diseases, particularly the early signs of throat cancer.
According to the research, throat cancer, also known as voice box cancer, is a serious medical issue worldwide. Many patients suffer complications due to late diagnosis, as current diagnostic methods such as endoscopy and tissue biopsy are not only painful but also not readily available everywhere.
A team of American experts analyzed thousands of voice recordings under the “Bridge to AI Voice” project. The study closely examined different aspects of voice, including pitch, slight variations in sound intensity, and noise ratios.
The results showed that in men, specific voice patterns, particularly harmonic to noise ratio and changes in pitch, can help in identifying throat cancer or early tumors. However, clear results have not yet been observed in female data, and further research is needed.
According to experts, these findings could form the basis of systems in the future that can detect diseases at an early stage simply by listening to a person’s voice. After large data sets and clinical testing, initial medical use of this technology may become possible in the coming years.
This advancement indicates that artificial intelligence can make diagnostic methods in the healthcare sector faster, easier, and more effective, helping achieve timely treatment and better outcomes.
