Garbhini-GA2 Benefits
The development of Garbhini-GA2 holds immense potential to revolutionize the landscape of maternal healthcare in India by offering several key benefits:
- Enhanced Accuracy: By providing more precise fetal age estimations, Garbhini-GA2 empowers healthcare professionals to make informed decisions regarding pregnancy monitoring, intervention strategies, and due date calculations.
- Improved Patient Care: Accurate GA information is crucial for optimizing prenatal care, allowing doctors to tailor interventions and recommendations specific to the developmental stage of the fetus. This can lead to improved pregnancy outcomes for both mothers and babies.
- Reduced Healthcare Costs: Early detection of potential complications through accurate fetal age assessment can help minimize the need for unnecessary interventions and associated healthcare costs.
Garbhini – GA2: IIT Madras, THSTI Develop India -Specific AI Gestation Age Estimation Model
Determining the gestational age (GA) of a fetus plays a crucial role in ensuring optimal pregnancy care. Traditionally, healthcare professionals rely on ultrasound measurements and established formulas to estimate GA. However, these methods often utilize data derived from Western populations, potentially leading to inaccuracies when applied to individuals from diverse ethnicities and backgrounds, including the Indian population.
This article delves into the groundbreaking research by IIT Madras and THSTI and their development of Garbhini-GA2, an AI-powered solution specifically tailored to address the limitations of existing methods and enhance fetal age estimation accuracy for pregnant women in India.
Synopsis
- Garbhini-GA2 is the first late-trimester GA estimation model developed and validated using Indian population data.
- The model uses three routinely measured fetal ultrasound parameters.
- The research was published in the prestigious journal Lancet Regional Health Southeast Asia.
- Garbhini-GA2 is expected to be deployed in clinics across India after further validation.