The Indian Journal of Nutrition and Dietetics

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Artificial Intelligence-Based Diet: An Interventional Field Study


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1 Department of Primary Health Care, Sevamob Ventures Limited, Lucknow, Uttar Pradesh - 226 001, India
     

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Specialist dieticians and nutritionist are not present in every hospital of developing countries like India, where malnutrition and metabolic diseases are a big problem. Use of Artificial Intelligence (AI) to prepare a diet chart may be an answer to this problem. Pre-post analytic observational field study was done at multiple centres to evaluate and compare AI based diet accuracy with the diet advised by the dieticians. Accuracy of the Diet AI in providing counseling to the patients for improvements in nutritional choices and lifestyle was found to be high at 96%. The AI based diet plan can overcome the need of expert dieticians at remote hospitals and rural areas where trained dieticians are not available.

Keywords

Artificial Intelligence, Diet, Field Trial, Dietician.
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  • Artificial Intelligence-Based Diet: An Interventional Field Study

Abstract Views: 346  |  PDF Views: 1

Authors

Ankit Agrawal
Department of Primary Health Care, Sevamob Ventures Limited, Lucknow, Uttar Pradesh - 226 001, India

Abstract


Specialist dieticians and nutritionist are not present in every hospital of developing countries like India, where malnutrition and metabolic diseases are a big problem. Use of Artificial Intelligence (AI) to prepare a diet chart may be an answer to this problem. Pre-post analytic observational field study was done at multiple centres to evaluate and compare AI based diet accuracy with the diet advised by the dieticians. Accuracy of the Diet AI in providing counseling to the patients for improvements in nutritional choices and lifestyle was found to be high at 96%. The AI based diet plan can overcome the need of expert dieticians at remote hospitals and rural areas where trained dieticians are not available.

Keywords


Artificial Intelligence, Diet, Field Trial, Dietician.

References





DOI: https://doi.org/10.21048/ijnd.2020.57.3.25120