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 affects India’s ranking in the Global Health Index.

In this regard, C-DAC 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 of 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 worker/Non-Specialist medicos using electronic stethoscope and AI enabled Web application.

1. AI based techniques for assisted diagnosis of pneumonia using lung sounds acquired by electronic stethoscope and clinical records (body temperature, respiration rate, SPO2, etc.).
2. 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 and Smart Systems Division
C-DAC, A-34, Industrial Area, Phase - VIII, Mohali - 160071
eMail: jaspal[at]cdac[dot]in
Phone No.: 0172-6619000