Quantum Computing-Enhanced AI for Predicting Multi-Disease Outcomes in Aging Populations
Keywords:
Quantum computing, AI, aging population, multi-disease prediction, chronic diseases, healthcareAbstract
The global increase in senior citizens puts considerable strain on healthcare infrastructure because it creates complex illnesses that emerge from aging. AI models constructed through traditional methods deliver useful results but display limited processing abilities which restrict their accuracy in forecasting intricate chronic condition interactions. This research evaluates how quantum computing combined with artificial intelligence (AI) improves predictive modelling capabilities for multi-disease outcomes among the aging population. Quantum computing technology linked with AI analytical capabilities produces better simulation accuracy while enabling individualized healthcare services. The potential benefits alongside obstacles together with future implications of quantum-enhanced AI in geriatric healthcare are studied as part of our discussion while seeking to revolutionize aging-disease management
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All articles published in the International Journal of Artificial Intelligence and Cybersecurity (IJAIC) are licensed under a Creative Commons Attribution 4.0 International License. This license permits unrestricted use, sharing, adaptation, distribution, and reproduction in any medium or format, provided appropriate credit is given to the original author(s) and the source, with a link to the license and an indication if changes were made.
