AI-driven tools for the prediction of obesity-related vascular diseases: stakeholder perspectives and challenges

While stakeholders acknowledged the promise of the AI-POD tools for advancing personalized cardiovascular risk prediction in individuals living with obesity, they also identified critical challenges related to equitable access, sustained user engagement, and effective integration into clinical practice. Addressing these challenges will be essential for the successful implementation, adoption, and uptake of the tools envisioned within the AI-POD project.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-12-04
DOI
https://doi.org/10.3389/fpubh.2025.1713882
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-driven tools for the prediction of obesity-related vascular diseases: stakeholder perspectives and challenges

Pascal Borry, Eva Van Steijvoort, Kaatje Goossens, Tessa Marie Forehand
Frontiers in Public Health
Artificial Intelligence in Healthcare and Education
article

AI-driven tools for the prediction of obesity-related vascular diseases: stakeholder perspectives and challenges

Pascal Borry, Eva Van Steijvoort, Kaatje Goossens, Tessa Marie Forehand
article en

Abstract

While stakeholders acknowledged the promise of the AI-POD tools for advancing personalized cardiovascular risk prediction in individuals living with obesity, they also identified critical challenges related to equitable access, sustained user engagement, and effective integration into clinical practice. Addressing these challenges will be essential for the successful implementation, adoption, and uptake of the tools envisioned within the AI-POD project.

Frontiers in Public HealthVol. 13
KU Leuven (BE)
Openalex Percentile: Top 68%
Artificial Intelligence in Healthcare and Education
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