ReviewCureus2026
Integrating AI-Driven Diagnostics in Arrhythmia Care to Enhance Patient Outcomes: A Narrative Review.
Review in Cureus, 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
International morbidity and mortality are led by cardiovascular disease, specifically arrhythmias. The integration of artificial intelligence (AI) can promote earlier identification and, therefore, provide personalized clinical judgments sooner, which can avert these consequences. AI is mainly used in diagnostics, prognostics, and decision support through test interpretations (electrocardiographs (ECGs) and MRI scans) and computing hidden characteristics to utilize a personalized plan rather than a population-based one. While such technology is available in hospitals, some functions are also being integrated into smart wearable devices. These wearable devices allow for continuous monitoring rather than limiting it to in-hospital settings, thus making it easier to enable an earlier diagnosis. However, certain arrhythmias, such as asymptomatic arrhythmias, can go unnoticed by AI. Additionally, there are questions regarding data transparency, privacy, and the financial burden of utilizing and managing AI in medical settings.
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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.