ArticleFrontiers in public health2026
Beyond health economics: economic growth, artificial intelligence, and environmental externalities in shaping life expectancy.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Can artificial intelligence improve health performance? The mediating role of health innovation and the moderating role of digital infrastructure.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Life expectancy is determined by several structural interplays. This study examines the impact of economic growth, AI (as measured by digitalization), and carbon emissions on life expectancy in GCC countries from 2000 to 2024. Methods: This research relies on a standard model derived from the health economics function, which combines panel fixed effects and dynamic models (System GMM) to measure the impact of economic growth, digital transformation, and environmental sustainability on public health. Estimates were obtained using static fixed effects and a dynamic specification corresponding to the generalized multiple methods approach. These estimates are useful for controlling for unobserved heterogeneity, health persistence, and possible internal relationships among income, technology, and health. Life expectancy indicates a high level of persistence. Results: The dynamic estimates indicate that the lag values of the current health outcome can explain the outcome over 70 years. After controlling for static and dynamic specifications and internalities, the economic growth role is positive but reduced. All specifications indicate that digital transformation has a positive and robust effect on life expectancy, with an economically significant magnitude. In contrast, a strong correlation exists between per capita carbon dioxide emissions and low life expectancy. The proportion of health expenditure to GDP is not significantly associated with life expectancy in the GCC countries. Discussion: Overall, these findings imply that population health improvements in GCC countries are probably driven less by health expenditure volumes and more by structural changes in the digital and environmental efficiency of population health production. Economic development will expand fiscal space for health-sector expenditures. The development of the digital economy clearly increases the productivity of health sector expenditures. Conversely, carbon-intensive growth imposes significant health costs. The findings elucidate that digital and environmental health organizations within the public health sector are essential for achieving health gains and long-term sustainability in GCC countries.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.