The Impact of Artificial Intelligence on Personalized Nutrition and Healthcare Management

AI is changing personalized nutrition and healthcare management by combining powerful data analytics, predictive technology, and machine learning. With the use of AI tailored nutrition if possible specific diet advice real time nutrient tracking meal plans all based off of an individual’s health information. Speaking of healthcare management, with the use of AI, the predictive analytics are better, the treatment strategies are more specific, and real time health monitoring and even virtual health help is possible. Although AI has a lot of potential in these fields, it also creates many problems, such as privacy issues, error rates, prejudice, and getting the system to fit in with the rest of the system. This article explores the current applications, advantages and drawbacks of AI in personalized nutrition and health care delivery and offers a comprehensive analysis of its impact as well as future trends.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/idicaiei61867.2024.10842769
Primary Topic
Nutrition, Genetics, and Disease
Type
article
Field-Weighted Citation Impact
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article

The Impact of Artificial Intelligence on Personalized Nutrition and Healthcare Management

Pranali Shastrakar, Shreya Lonkar, Suhira Alina Sayyad
Nutrition, Genetics, and Disease
article

The Impact of Artificial Intelligence on Personalized Nutrition and Healthcare Management

Pranali Shastrakar, Shreya Lonkar, Suhira Alina Sayyad
article en

Abstract

AI is changing personalized nutrition and healthcare management by combining powerful data analytics, predictive technology, and machine learning. With the use of AI tailored nutrition if possible specific diet advice real time nutrient tracking meal plans all based off of an individual’s health information. Speaking of healthcare management, with the use of AI, the predictive analytics are better, the treatment strategies are more specific, and real time health monitoring and even virtual health help is possible. Although AI has a lot of potential in these fields, it also creates many problems, such as privacy issues, error rates, prejudice, and getting the system to fit in with the rest of the system. This article explores the current applications, advantages and drawbacks of AI in personalized nutrition and health care delivery and offers a comprehensive analysis of its impact as well as future trends.

Datta Meghe Institute of Higher Education and Research (IN)
Zero hunger
Openalex Percentile: Top 72%
Nutrition, Genetics, and Disease
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