Salcit Technologies from India has partnered with Google Research to utilize Google’s Health Acoustic Representations (HeAR) to enhance its bioacoustic AI technology Swaasa, aiming to improve early detection of tuberculosis through cough sound analysis. Google’s team trained HeAR on a large dataset of audio data to discern patterns within health-related sounds. This collaboration aims to make TB screening more accessible and scalable across India. The use of sound and machine learning in healthcare is gaining momentum, with companies like EKO and TytoCare developing AI-enabled tools for diagnosing and monitoring heart and lung conditions remotely. The HIMSS AI in Healthcare Forum is scheduled for September.
Source link
Salcit partners with Google on AI technology to detect disease based on coughs
