Use of Artificial Intelligence in Dietary Strategies to Manage and Prevent Long-Term Diseases
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Abstract
Background: In recent age, long term diseases like cardiovascular diseases, diabetes, and many disorders are expanding significantly in human health. Diet plays an important role in preventing and managing all kind of diseases. AI with its ability to analyze large datasets can help people to make dietary strategies for disease prevention. Methods: The objective of this study is to explore how AI can be used to create individual diet plans so that people can prevent long term diseases. The methodology of this study involves trained AI to analyze large datasets including nutritional data, clinical health records, genetic information, and disease incidence data and create diet plans for individual. Result: Results shows that AI-driven diet plans can reduce disease risk factors. Personalized nutrition strategies based on AI models showed a 25-35% reduction in disease incidence in test populations, 40-45% improvement in managing autoimmune disorders by recommending anti-inflammatory and gut-health-supporting foods. Additionally, tailored dietary recommendations resulted in a 20-30% reduction in the risk of developing type 2 diabetes in individuals at high risk. Conclusion: In conclusion, AI-powered dietary strategies offer a promising non-pharmacological alternative to traditional medical treatments, with the potential to reduce long term disease incidence by up to 45% and improve overall public health.
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Publication Details
- Type of Publication: Conference
- Conference Name: 3rd International Conference on Advancement of Life Science 2025
- Date of Conference: 01/11/2025 - 01/12/2025
- Venue: Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902
- Organizer: Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902