Programs
- M. Tech. in Automotive Engineering -Postgraduate
- Fellowship in Uro Oncology & Robotic Urology 1 Year -Fellowship
Antenatal Care(ANC) is one of the crucial requirements for pregnant women for protecting them as well as their unborn child. According to the WHO, 303,000 women died from pregnancy-related reasons in 2016, 2.7 million babies died within the first 28 days of their lives, while 2.6 million babies were stillborn. Many of these fatalities might be avoided with proper fetal and neonatal care, yet only 64 percent of women worldwide receive antenatal care four or more times during their pregnancy. It is very essential that pregnant ladies consult doctors regularly for assessment and counselling. The lessons, discussions and interactions during antenatal care are very useful in promoting the health of mothers and their babies, good relationships, reduce anxiety, prevent post-delivery complications. Especially during early pregnancy, regular monitoring, and analysis of vital parameters of mother and fetus health is inevitable to forecast complications if any.
The goal of the project is to leverage the potential of AI for antenatal care to support health illiterate, malnourished pregnant women who are underprivileged/underserved. We aim to revolutionize the healthcare domain with cognitive elements to assist doctors and patients for better affordability and availability of quality health care services. This project is to satiate one amongst the Sustainable Development Goals(SDGs) that are put forth to end various types of deprivations. SDGs promote developing strategies for the goodness of health and education, to reduce inequality prevalent in various societies. For example, the SDG 3.8 target aims to “achieve Universal Health Coverage (UHC), including financial risk protection, access to quality essential health care services, and access to safe, effective, quality, and affordable essential medicines and vaccines for all.” There are still societies existing, where women are health illiterate and are not given enough consideration especially in rural areas.
