WASHINGTON : A new scientific study has revealed that artificial intelligence can identify subtle signals hidden in the human voice that indicate early signs of various diseases, especially throat cancer. A team of American experts analyzed thousands of voice recordings under the Bridge to AI Voice project. The results showed that specific voice patterns in men, especially changes in harmonic-to-noise ratio and pitch, could be helpful in identifying throat cancer or early tumors, but clear results have not yet emerged in women’s data and further research is needed. According to experts, these results could form the basis of a system in the future that can identify diseases in the early stages just by listening to the voice. Initial medical use of this technology may be possible in the next few years.















