ReviewAtencion primaria2026
[Artificial intelligence and disinformation in health: The need for re-education from primary care].
Review in Atencion primaria, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- [Artificial intelligence and primary care: Between adaptation and the loss of centrality].Atencion primaria · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of generative artificial intelligence (AI) is transforming the way people access health information, offering great opportunities but also posing risks related to misinformation. Its impact is particularly evident among individuals with low digital or health literacy, which may exacerbate existing inequalities. A review of recent literature highlights the need for an ethical and critical approach to AI use, driven by Primary Care as a key space for trust and education. Healthcare professionals, together with patients and the community, should engage in training strategies and programs that promote the responsible use of these tools. Although AI enhances accessibility and informational efficiency, it also requires constant oversight to prevent biases and errors. Primary Care is positioned as the central axis for leading an ethical and equitable use of this technology.
Indexed as
Identifiers
What Socratic 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 Socratic graph.