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Review
. 2025 Feb 17;28(3):112044.
doi: 10.1016/j.isci.2025.112044. eCollection 2025 Mar 21.

Precision management in chronic disease: An AI empowered perspective on medicine-engineering crossover

Chaoqun Dong  1 , Yan Ji  2 , Zhongmin Fu  2 , Yi Qi  1 , Ting Yi  1 , Yang Yang  2 , Yumei Sun  3 , Hongyu Sun  3
Affiliations
Review

Precision management in chronic disease: An AI empowered perspective on medicine-engineering crossover

Chaoqun Dong et al. iScience. .

Abstract

Precision management of chronic diseases is crucial for improving patient quality of life and alleviating global health burdens. Advancements at the intersection of medicine and engineering, particularly through artificial intelligence (AI), have driven significant progress in precision care. From the perspective of the full life span management of chronic diseases, we focus on medicine-engineering crossover for monitoring chronic diseases, developing and implementing precision care plans, and evaluating care outcomes. Through an in-depth discussion, we address key issues such as AI's potential to enable precision care and the challenges associated with its implementation, including data accuracy, privacy concerns, and clinical adoption. Emphasizing the importance of nurses embracing new technologies and interdisciplinary collaboration, this paper highlights how technological innovation can improve chronic disease management, particularly by enhancing care efficiency and personalizing health interventions. We aim to support the development of integrated healthcare solutions that improve patient outcomes in chronic disease management.

Keywords: Artificial intelligence; Health sciences; Nursing; Robotics.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

None
Graphical abstract
Figure 1
Figure 1
Pathway to key technologies for precision care in chronic diseases through AI-empowered perspective on medicine-engineering crossover SVM, support vector machines; DT, Decision Tree; BN, Bayesian network; RF, Random Forest; XG Boost, eXtreme Gradient Boosting; MLP, Multilayer perceptron.
Figure 2
Figure 2
Intelligent nursing products for chronic disease precision management
Figure 3
Figure 3
Empowerment of AI in the construction and implementation of precise indicator systems
See this image and copyright information in PMC

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