AI in Personalized Health Management: Practices and Challenges

Zhanxu Jiang

2024

Abstract

With the improvement of medical and technological level, people are no longer satisfied with the traditional one-size-fits all inefficient medical model, but seek more consideration of individual differences and user uniqueness of a new medical model called personalized health care. Artificial intelligence, especially deep learning, has been used to analyze large amounts of medical data, and its potential in the health care field has attracted much attention. In this article, the implement of artificial intelligence in personalized healthcare are outlined, including health data analysis, genetic risk assessment, and diet and exercise intervention. Specifically, this article first classifies health data analysis into two categories from the perspective of technology, and then introduces two methods to deal with genetic risk: genetic risk prediction and drug development, and then introduces how artificial intelligence can intervene in patients' daily life from two aspects: diet intervention and exercise intervention. Finally, the article discusses the current problems encountered in the development of artificial intelligence technology in the field of personalized health, and provides a perspective on the prospects and solutions of artificial intelligence for doctors, healthcare institutions, and governments in society. It is hoped that this article can provide theoretical support and practical suggestions for doctors, health care institutions and government to cooperate to build a more intelligent and personalized health care system.

Paper Citation

in Harvard Style

Jiang Z. (2024). AI in Personalized Health Management: Practices and Challenges. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 46-51. DOI: 10.5220/0012897900004508

in Bibtex Style

@conference{emiti24,
author={Zhanxu Jiang},
title={AI in Personalized Health Management: Practices and Challenges},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={46-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012897900004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - AI in Personalized Health Management: Practices and Challenges
SN - 978-989-758-713-9
AU - Jiang Z.
PY - 2024
SP - 46
EP - 51
DO - 10.5220/0012897900004508
PB - SciTePress