International Journal of Research and Scientific Innovation (IJRSI)
AI in Corporate Bowl of Diet and Wellness
Published April 27, 2026 • Vol. 13, Issue 4, pp. 348–359Open Access
DOI: 10.51244/IJRSI.2026.1304000031
Abstract
Artificial intelligence (AI) has been transforming the way medical professionals treat patients. This paper will discuss how AI is significantly altering the health care system, particularly in terms of diet. In order to help physicians, dietitians, and other health professionals make better decisions and lead healthier lives, a variety of machine learning and deep learning algorithms have been created to extract useful information from healthcare data. An overview of the state of art of AI applications in healthcare is given in this study, with an emphasis on the use of AI-driven systems in nutrition. The difficulties in creating AI recommender systems for the healthcare industry are discussed in this study, which offers a comprehensive analysis of the insights of balanced plating. The current initiatives to use AI in nutrition set the stage for a time when tailored advice will be essential in helping people lead healthier lives.
Keywords: Keto, detox, balanced plating, dietetics department
| Journal | International Journal of Research and Scientific Innovation (IJRSI) |
|---|---|
| ISSN | 2321-2705 |
| Volume / Issue | Volume 13, Issue 4 |
| Pages | 348–359 |
| Publication date | April 27, 2026 |
| DOI | 10.51244/IJRSI.2026.1304000031 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Dr. Adwitiya (2026). AI in Corporate Bowl of Diet and Wellness. International Journal of Research and Scientific Innovation (IJRSI), 13(4), 348-359. https://doi.org/10.51244/IJRSI.2026.1304000031
BibTeX
@article{Dr2026,
title = {AI in Corporate Bowl of Diet and Wellness},
author = {Dr. Adwitiya},
journal = {International Journal of Research and Scientific Innovation (IJRSI)},
volume = {13},
number = {4},
pages = {348--359},
year = {2026},
doi = {10.51244/IJRSI.2026.1304000031},
publisher = {RSIS International}
}