Context: Indian scientists developed first India-specific Artificial Intelligence (AI) model to determine the age of a foetus in a pregnant woman.
About Garbini-GA2 AI Model
- About: Garbhini-GA2 is an innovative AI model, crafted uniquely for the Indian population to accurately assess foetal age during the second and third trimesters of pregnancy.
- Development: Collaborative initiative between the Indian Institute of Technology Madras and the Translational Health Science and Technology Institute, Faridabad.
- Inception: It was developed under the GARBH-Ini program, an interdisciplinary research effort aimed at enhancing birth outcomes in India, supported by the Department of Biotechnology.
Significance of Garbini- GA2 AI Model
- Improved Foetal Age Estimation: Garbhini-GA2 offers a more accurate method for determining foetal age, crucial for the Indian context where Western models may not be as effective.
- Enhanced Healthcare Delivery: The implementation of this model is expected to refine the clinical practices of obstetricians and neonatologists, potentially reducing maternal and infant mortality rates in India.
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Technological Advancement and Accuracy
- Methodological Approach: The model utilises genetic algorithm-based techniques, ensuring a high degree of precision in gestational age estimation.
- Comparative Accuracy: When benchmarked against the Hadlock and INTERGROWTH-21st models, Garbhini-GA2 demonstrates superior accuracy, particularly for the Indian population.
- Error Reduction: The model has notably minimised the median error in gestational age estimation, improving it by more than a threefold reduction in comparison to the Hadlock model.