ReviewHeart views : the official journal of the Gulf Heart Association2026
The Emerging Role of Artificial Intelligence in Cardiovascular Care: From Imaging to Predictive Analytics.
Review in Heart views : the official journal of the Gulf Heart Association, 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is rapidly transforming cardiovascular medicine, evolving from theoretical promise to practical tools that improve diagnostic accuracy, streamline workflow, and enhance patient outcomes. Machine learning (ML) and deep learning systems now support automated image interpretation, disease detection, physiologic signal analysis, and individualized risk prediction. Large language models further reduce documentation burden and enable more efficient clinical communication. This review summarizes current applications of AI across cardiovascular care, with an example on the role of AI in predictive analytics in liver transplant candidates, an area where early risk identification may significantly alter outcomes. The article also explores emerging innovations, including the potential role of quantum computing, that may define the next era of cardiovascular medicine.
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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.