The role of artificial intelligence in the diagnosis of pericardial constriction

Kevin Lipat, Tyler Booth, Partho P. Sengupta

Open source

DOI
10.1097/hco.0000000000001325
Published
2026-07-27
Container
Current Opinion in Cardiology
Publisher
Ovid Technologies (Wolters Kluwer Health)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1097/hco.0000000000001325,
  title = {The role of artificial intelligence in the diagnosis of pericardial constriction},
  author = {Kevin Lipat and Tyler Booth and Partho P. Sengupta},
  year = {2026},
  journal = {Current Opinion in Cardiology},
  doi = {10.1097/hco.0000000000001325},
  url = {https://doi.org/10.1097/hco.0000000000001325}
}

RIS

TY  - JOUR
TI  - The role of artificial intelligence in the diagnosis of pericardial constriction
AU  - Kevin Lipat
AU  - Tyler Booth
AU  - Partho P. Sengupta
PY  - 2026
JO  - Current Opinion in Cardiology
DO  - 10.1097/hco.0000000000001325
UR  - https://doi.org/10.1097/hco.0000000000001325
ER  - 

APA

Lipat, K., Booth, T., & Sengupta, P. P. (2026). The role of artificial intelligence in the diagnosis of pericardial constriction. Current Opinion in Cardiology. https://doi.org/10.1097/hco.0000000000001325

Source records