Artificial Intelligence‐Assisted Automated Optical Coherence Tomography Analysis for Percutaneous Coronary Intervention Planning: From Plaque Analysis to Precision Lesion Preparation and Stent Optimization

Kevin Mohee, Eirinaios Tsiartas, Jason Sangha, Michael Roberts, Martin Bennett

Open source

DOI
10.1161/jaha.126.049590
Published
2026-11-03
Container
Journal of the American Heart Association
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:10.1161/jaha.126.049590,
  title = {Artificial Intelligence‐Assisted Automated Optical Coherence Tomography Analysis for Percutaneous Coronary Intervention Planning: From Plaque Analysis to Precision Lesion Preparation and Stent Optimization},
  author = {Kevin Mohee and Eirinaios Tsiartas and Jason Sangha and Michael Roberts and Martin Bennett},
  year = {2026},
  journal = {Journal of the American Heart Association},
  doi = {10.1161/jaha.126.049590},
  url = {https://doi.org/10.1161/jaha.126.049590}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence‐Assisted Automated Optical Coherence Tomography Analysis for Percutaneous Coronary Intervention Planning: From Plaque Analysis to Precision Lesion Preparation and Stent Optimization
AU  - Kevin Mohee
AU  - Eirinaios Tsiartas
AU  - Jason Sangha
AU  - Michael Roberts
AU  - Martin Bennett
PY  - 2026
JO  - Journal of the American Heart Association
DO  - 10.1161/jaha.126.049590
UR  - https://doi.org/10.1161/jaha.126.049590
ER  - 

APA

Mohee, K., Tsiartas, E., Sangha, J., Roberts, M., & Bennett, M. (2026). Artificial Intelligence‐Assisted Automated Optical Coherence Tomography Analysis for Percutaneous Coronary Intervention Planning: From Plaque Analysis to Precision Lesion Preparation and Stent Optimization. Journal of the American Heart Association. https://doi.org/10.1161/jaha.126.049590

Source records