Role of Artificial Intelligence in Cross-sectional Studies in Rural India: Prospects, Obstacles, and Future Directions
DOI:
https://doi.org/10.62486/latia2025336Keywords:
Artificial Intelligence, Cross-sectional Studies, Rural India, Health Research, Data Collection, AI in Public HealthAbstract
Cross-sectional studies are critical as sources of the health, socio-economic, and demographic dynamics of rural populations in India. However, these studies suffer from some drawbacks, including logistics issues, data validity, and limited funding. Recent advances in AI have demonstrated the possibility of enhancing various aspects of cross-sectional study design, data acquisition, and statistical and interpretational methods. This manuscript outlines how AI can complement cross-sectional studies in rural India, describes the challenges of AI implementation, and envisions ways in which AI options may be incorporated into future rural health research.
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Copyright (c) 2025 Mohammad Sidiq, Jyoti Sharma, Aksh Chahal, Krishna Reddy Vajrala, Sachin Gupta (Author)
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