Smartphone app detects TB through coughs, but limitations remain
A new smartphone app has shown promise in diagnosing tuberculosis (TB) by analyzing cough sounds. Developed by a team of researchers from the US and Kenya, the app uses artificial intelligence (AI) to analyze recordings of coughs and determine the likelihood of a TB infection. Although the app is not foolproof and failed to detect TB in about 30% of cases, it is still considered a valuable screening tool, particularly in low-income countries where traditional diagnostics methods are costly and labor-intensive.
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