Research Article
The Application of AI in Clinical Nutrition
Sanjith Saseedharan1*, Hans Lewis2 and Ankita Pandey3
1Director, Department of Critical Care, S.L.Raheja Hospital- A Fortis Associate, Mumbai, India
2CEO, Docmode Health Technologies Private Limited, Mumbai, Maharashtra, India
3ICU Registrar, Department of Critical Care, S.l.Raheja Hospital- A Fortis Associate, Mumbai, Maharashtra, India
2CEO, Docmode Health Technologies Private Limited, Mumbai, Maharashtra, India
3ICU Registrar, Department of Critical Care, S.l.Raheja Hospital- A Fortis Associate, Mumbai, Maharashtra, India
*Corresponding author:Sanjith Saseedharan, Director, Department of Critical Care, S.L.Raheja Hospital- A Fortis Associate, Mumbai, India, Email Id: docsanjith@rediffmail.com
Article Information:Submission: 08/09/2024; Accepted: 27/09/2024; Published: 30/09/2024
Copyright: © 2024 Sanjith Saseedharan, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The field of healthcare has witnessed a remarkable transformation in recent years, largely owing to the integration of Artificial Intelligence (AI) into various aspects of medical practice. AI, in its current state, has become a powerful tool for improving patient care, and one of its promising applications is in the realm of clinical nutrition. This article explores the growing significance of AI in clinical nutrition, highlighting its role in nutrition therapy across diverse healthcare settings.