Evidence map›Paper›PMID 40230670›Full record

ArticleJournal of the Society for Cardiovascular Angiography & Interventions2025

Can AI Capture and Quantify Clinical Expertise? Implications for Intracoronary Imaging in Percutaneous Coronary Intervention.

Ricardo Petraco, Rahul Bahl, Guilherme Almeida, Daniel Bandeira, Henry Seligman, Anissa Alloula, Abigail Demuyakor, Alexandra J Lansky, Tom Johnson, Darrel Francis and 3 more

Abstract read
In one paragraph

Article in Journal of the Society for Cardiovascular Angiography & Interventions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Revolutionizing Cardiovascular Interventions With Artificial Intelligence.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ricardo PetracoDepartment of Cardiology, Imperial College Healthcare NHS Trust, London, United Kingdom.
Rahul BahlNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Guilherme AlmeidaLondon Core Laboratory, London, United Kingdom.
Daniel BandeiraSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Henry SeligmanNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Anissa AlloulaBig Data Institute, University of Oxford, Oxford, United Kingdom.
Abigail DemuyakorSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Alexandra J LanskySection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Tom JohnsonBristol Heart Institute, University of Bristol, Bristol, United Kingdom.
Darrel FrancisLondon Core Laboratory, London, United Kingdom.
Gary S MintzCardiovascular Research Foundation, New York, New York.
Matthew Shun-ShinLondon Core Laboratory, London, United Kingdom.
Daniel ChamiéLondon Core Laboratory, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencecoronary artery diseaseintravascular imagingintravascular ultrasoundoptical coherence tomography

Identifiers

PMID40230670
PMCPMC11993851

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.