AI-Based Drone Delivery Systems for Emergency Healthcare Services

Authors

  • Dr. Armaan Saito

Abstract

Timely delivery of medical supplies during emergencies can save lives, especially in remote or disaster-affected areas. This paper explores the use of AI-powered drone delivery systems for rapid transportation of essential healthcare products. The proposed framework employs computer vision and path optimization algorithms to ensure safe and efficient drone navigation. Case studies highlight the effectiveness of drone-based delivery in reducing response times and increasing accessibility to critical healthcare resources.

References

Davenport, T. H., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94–98.

Yu, K. H., Beam, A. L., & Kohane, I. S. (2018). Artificial intelligence in healthcare. Nature Biomedical Engineering, 2(10), 719–731.

Chen, M., Hao, Y., Hwang, K., Wang, L., & Wang, L. (2017). Disease prediction by machine learning over big data from healthcare communities. IEEE Access, 5, 8869–8879.

Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57(15–16), 4719–4742.

Dolgui, A., Ivanov, D., & Sokolov, B. (2018). Ripple effect in the supply chain: An analysis and recent literature. International Journal of Production Research, 56(1–2), 414–430.

Chawla, N. (2021). DESIGNING RESILIENT FINANCIAL APIS USING ZERO-TRUST AND ADAPTIVE SECURITY MODELS. Phoenix: International Multidisciplinary Research Journal (Peer reviewed High Impact Journal), (1), 21.

Singh, D. (2022). Optimizing Enterprise Search Performance Using EHCache-Backed Apache Lucene Indexing for Hybrid Caching Systems. Australian Journal of Cross-Disciplinary Innovation , 4(4). Retrieved from https://journals.theusinsight.com/index.php/AJCDI/article/view/161

Singh, D. (2022). Managing API Evolution in Large-scale Microservices: Versioning and Backward Compatibility. International Journal of Science, Technology and Convergence, 4(4). Retrieved from https://ijcdra.us/index.php/IJSTC/article/view/61

Published

2023-12-13

How to Cite

Saito, D. A. (2023). AI-Based Drone Delivery Systems for Emergency Healthcare Services. International Journal of Science, Technology and Convergence, 5(5). Retrieved from https://ijcdra.us/index.php/IJSTC/article/view/64

Issue

Section

Articles