Loading...
Market
Story
Google's HeAR AI Detects Tuberculosis Through Sound Analysis
Aug 30, 2024, 06:11 AM
Google, in collaboration with an Indian AI startup, is developing a bioacoustics healthcare model called HeAR. This AI technology is designed to detect diseases by analyzing human sounds such as coughs, sniffles, sneezes, and breathing. The HeAR model has been trained on 300 million audio samples, including 100 million cough sounds, to identify signs of illnesses like tuberculosis using a smartphone. This innovative approach could revolutionize healthcare by enabling early detection of diseases through auditory analysis.
View original story
Similar markets
Tuberculosis • 25%
COVID-19 • 25%
Influenza • 25%
Other • 25%
Pneumonia • 25%
Asthma • 25%
Chronic Obstructive Pulmonary Disease (COPD) • 25%
Other • 25%
Yes • 50%
No • 50%
Yes • 50%
No • 50%
Yes • 50%
No • 50%
0-10 • 25%
11-50 • 25%
51-100 • 25%
More than 100 • 25%
0-49 • 25%
50-99 • 25%
100-149 • 25%
150 or more • 25%
Yes • 50%
No • 50%
United States • 25%
India • 25%
China • 25%
Other • 25%
Diabetes • 25%
Cancer • 25%
Cardiovascular diseases • 25%
Other • 25%
Lung Cancer • 25%
Breast Cancer • 25%
Prostate Cancer • 25%
Colon Cancer • 25%