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Peer-reviewedCC BY 4.0Journal of the Society for Cardiovascular Angiography & Interventions

Evaluation of an Artificial Intelligence and Machine Learning Algorithm to Enhance Angiographic Coronary Visibility in Morbid Obesity: A Retrospective Observational Study

  • Samia Mazumder1
  • Tim Joseph2,3
  • Devraj Sukul2,3
  • Araya Negash2,3
  • Justin Armstrong1
  • Lakshmi Rao1
  • Najeebullah Bangash1
  • Ryan D. Madder1
  1. 1Center for Innovation & Research in Cardiovascular Diseases; Department of Cardiovascular Medicine, William Beaumont University Hospital, Corewell Health East, Royal Oak, Michigan
  2. 2Frederik Meijer Heart & Vascular Institute, Corewell Health West, Grand Rapids, Michigan
  3. 3Michigan State University College of Human Medicine, Grand Rapids, Michigan
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Cite

BibTeXRIS
BibTeX
@article{mazumder2026evaluation,
  title = {{Evaluation of an Artificial Intelligence and Machine Learning Algorithm to Enhance Angiographic Coronary Visibility in Morbid Obesity: A Retrospective Observational Study}},
  author = {Samia Mazumder and Tim Joseph and Devraj Sukul and Araya Negash and Justin Armstrong and Lakshmi Rao and Najeebullah Bangash and Ryan D. Madder},
  journal = {Journal of the Society for Cardiovascular Angiography \& Interventions},
  year = {2026},
  month = aug,
  doi = {10.1016/j.jscai.2026.105627},
  url = {https://doi.org/10.1016/j.jscai.2026.105627},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Evaluation of an Artificial Intelligence and Machine Learning Algorithm to Enhance Angiographic Coronary Visibility in Morbid Obesity: A Retrospective Observational Study
AU  - Samia Mazumder
AU  - Tim Joseph
AU  - Devraj Sukul
AU  - Araya Negash
AU  - Justin Armstrong
AU  - Lakshmi Rao
AU  - Najeebullah Bangash
AU  - Ryan D. Madder
PY  - 2026
DA  - 2026/08/31
JO  - Journal of the Society for Cardiovascular Angiography & Interventions
DO  - 10.1016/j.jscai.2026.105627
UR  - https://doi.org/10.1016/j.jscai.2026.105627
SN  - 2772-9303
ER  -