ArticleFrontiers in digital health2026
AI-driven healthcare: a trend toward better healthcare or the emergence of public health burden.
Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, artificial intelligence (AI) has become a potent and innovative branch of computer science that is rapidly transforming healthcare delivery across the world. With its promise of improved diagnostics, individualized care, and effective health service management, it has the potential to fundamentally change medical practice and healthcare delivery. Yet, despite its potential, AI's growing influence also raises serious concerns about algorithmic bias, data misuse, over-reliance, and even the high risk of causing the emergence of a public health burden. This article critically examines recent breakthroughs in the application of AI in healthcare, whether AI represents a genuine advance toward better healthcare services or whether it could inadvertently contribute to public health risk. It is then argued that while AI's benefits are undeniable, its unregulated or poorly designed deployment could cause a growing public health burden. A balanced, human-centered, and ethical approach to AI adoption is therefore essential to ensure that digital progress translates into real health gains and discusses the possible future direction of AI-augmented healthcare systems.
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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 Socratic graph.