Google’s HeAR model analyzes millions of short audio clips to detect early signs of lung disease, including tuberculosis, before they progress. The model is trained on a diverse set of audio samples to look for anomalies in audio samples provided by patients. Google is partnering with a healthcare startup to apply these findings in clinical settings and look for early signs of tuberculosis using AI. The diagnostic uses of AI have expanded with AI models being used to detect cancerous tumors, breast cancer, myopia, heart disease, and even predict autism in toddlers.
The ainewsarticles.com article you just read is a brief synopsis; the original article can be found here: Read the Full Article…