Pediatric Pneumonia is prevalent in the poor and deprived sections of our society and it happens to be the most common cause of post-neonatal child deaths. The resultant high infant mortality rate adversely effects India’s ranking in the Global Health Index. 

In this regard, CDAC Mohali is developing an AI-based multi-modal data analytics framework for estimation of pediatric pneumonia, which can aid on-site diagnosis of pediatric pneumonia by a non-specialist medico using the child’s auscultations. Under the guidance of senior pediatrics specialists from Government Medical College & Hospital and Post Graduate Institute of Medical Education & Research (PGI), Chandigarh the ‘lung sounds’, of infants suffering from pneumonia are being collected by our trained technicians. Using this sound database, signal processing and audio engineering various AI models are being trained. The trained models can then be deployed over the cloud for the benefit of the rural primary healthcare providers. This would bring about a tectonic shift in terms of early medical intervention and subsequently improve India’s Global Health Index as well.

Estimation of Pediatric Pneumonia by Asha workers/Non-Specialist medicos in the village. 

• AI based techniques for assisted diagnosis of pneumonia using lung sounds acquired with electronic stethoscope and clinical records (body temperature, respiration rate, SPO2, etc.).
• Web application interface for smart diagnosis using electronic stethoscope audio and developed and trained AI model deployed at Cloud.

Dr. Jaspal Singh
Associate Director, Robotics & Smart Systems Divison
C-DAC, A-34, Phase VIII, Industrial Area, Mohali - 160071.
eMail: jaspal[at]cdac[dot]in