Review of: Artificial Intelligence and an Approach to Nutrition and Diet | ||||
| Bulletin of the National Nutrition Institute of the Arab Republic of Egypt | ||||
| Volume 64, Issue 2, December 2024, Page 186-203 PDF (786.17 K) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/bnni.2024.395407 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Nahla AA Mohamed 
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| Department of Field Studies and Survey- National Institute of Nutrition - Cairo – Egypt | ||||
| Abstract | ||||
| Open Access *Corresponding author: Nahla Ali Abd Elrahman Mohamed Email: Nona_love00050@yahoo.com Mobile +201091786056 Received: 20 October 2024 Accepted: 25 November 2024 Published online: 5 Dezember 2024 Citation: Mohamed NAA (2024): Review of: Artificial Intelligence and an Approach to Nutrition and Diet. BNNI (64) 186-203. doi: 10.21608/bnni.2024.395407 Abstract The goal of the computer science field of artificial intelligence (AI) is to mimic mental processes, learning capacities, and knowledge management. It is remarkable how many applications there are in both clinical and experimental medicine. Applications of artificial intelligence in diet and nutrition are a relatively new but significant area. There are various nutrition-related applications available for people to utilize. The rise in artificial intelligence applications has also been prompted by the significance of personal nutrition. It is believed that various apps, including those that measure nutritional intake and food preferences, can be crucial in promoting health. When assessing food consumption, researchers may encounter challenges such as recalling the frequency or quantity of eating. Overcoming these challenges is made possible by some applications employed in the evaluation of food consumption. In addition, these applications make research easier and yield more accurate results than conventional techniques. It is important to take into account the drawbacks when developing applications for the nutrition and dietetics fields. Applications of artificial intelligence are anticipated to support nutritional status monitoring and assessment as well as health improvement. | ||||
| Keywords | ||||
| health; artificial intelligence; nutrition; and dietetics | ||||
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