Evidence map›Paper›PMID 39859065›Full record

SynthesisMedicina (Kaunas, Lithuania)2025

A Comprehensive Review of Artificial Intelligence (AI) Applications in Pulmonary Hypertension (PH).

Sogol Attaripour Esfahani, Nima Baba Ali, Juan M Farina, Isabel G Scalia, Milagros Pereyra, Mohammed Tiseer Abbas, Niloofar Javadi, Nadera N Bismee, Fatmaelzahraa E Abdelfattah, Kamal Awad and 6 more

Abstract readSystematic Review
In one paragraph

Synthesis in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
–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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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

16 authors.

Sogol Attaripour EsfahaniDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Nima Baba AliDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0009-0004-3979-0609
Juan M FarinaDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0002-5824-8485
Isabel G ScaliaDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0002-6459-9767
Milagros PereyraDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0003-4695-8436
Mohammed Tiseer AbbasDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0009-0004-7212-435X
Niloofar JavadiDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Nadera N BismeeDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0009-0001-7502-0992
Fatmaelzahraa E AbdelfattahDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Kamal AwadDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0001-6707-1629
Omar H IbrahimDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0009-0003-2530-7850
Hesham SheashaaDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0009-0000-4740-5388
Timothy BarryDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0002-0576-2990
Robert L ScottDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Chadi AyoubDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Reza ArsanjaniDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0001-7081-4286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceHypertension, PulmonaryHumansartificial intelligencecardiac MRIcomputed tomographydeep learningechocardiographymachine learningpulmonary hypertension

Identifiers

PMID39859065
PMCPMC11766811

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.