Maternal, Newborn, and Child Health
We are developing an AI-powered smartphone-based anthropometry tool that will empower health workers to screen low-birth-weight babies without any specialised equipment or physical examinations.
Babies are usually weighed when they are born, or within the first few days after birth, and this weight is a well-established indicator of their overall health. Newborns that weigh between 2.5–3.5 kilograms are generally considered as healthy. However, every year, over 20 million newborns worldwide face a life of prolonged and serious ill-health due to being born with low birth-weight, that is, less than 2.5 kgs.
Low-birth-weight babies are more likely to die during their first month of life and those that manage to survive face lifelong consequences, such as a higher risk of stunted growth, lower IQ, and adult-onset chronic conditions such as obesity and diabetes. Nearly half of these babies are born in South Asia. India has one of the highest incidences of low-birth-weight babies in the world, and the highest percentage of infants not weighed or inaccurately weighed at birth. Low-birth-weight babies account for 48 percent of newborn deaths.
In this age of AI, a key component of global public health is empowering primary health facilities and health workers with technology to improve maternal and child health.
Impact through AI
At Wadhwani AI, we are creating a smartphone-based anthropometry technology which will allow frontline workers to screen for low-birth weight babies in rural homes. This AI-powered virtual weighing machine will provide accurate, tamper-proof, geo-tagged measurements on a smartphone, without additional hardware or data connectivity. We currently have a preliminary proof of concept working in the simulation environment and are targeting field experiments starting August 2019.
Wadhwani AI is the first and only official competitor from India and Asia, and the only team from the developing world among the 34 official competitors from around the world, that are vying for the IBM Watson AI XPRIZE, a global competition challenging teams to develop powerful Artificial Intelligence (AI)-based applications and demonstrate how humans can collaborate with AIs to tackle the world’s greatest challenges.