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Peer-reviewedCC BY-NC-NDHeart rhythm O2

Use of multi-modal artificial intelligence model for prediction of atrial fibrillation in hospitalized patients

  • Unmesh Khanolkar1
  • Ashish Yadav1
  • Avdhesh Mann2
  • Laith Alomari3
  • Emmanuel Otabor3
  • Rukmini Pisipati1
  • Abhishek Deshmukh4
  • Scott Pappada5
  • Abhishek Maan1
5 affiliations
  1. 1Division of Cardiac Electrophysiology, University of Toledo, Toledo, Ohio
  2. 2Indian Institute of Technology, Mandi, India
  3. 3Thomas Jefferson Hospital, Philadelphia, Pennsylvania
  4. 4Mayo Clinic, Rochester, Minnesota
  5. 5Department of Anesthesia, Bioengineering, University of Toledo, Toledo, Ohio
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Cite

BibTeXRIS
BibTeX
@article{khanolkar2026multimodal,
  title = {{Use of multi-modal artificial intelligence model for prediction of atrial fibrillation in hospitalized patients}},
  author = {Unmesh Khanolkar and Ashish Yadav and Avdhesh Mann and Laith Alomari and Emmanuel Otabor and Rukmini Pisipati and Abhishek Deshmukh and Scott Pappada and Abhishek Maan},
  journal = {Heart rhythm O2},
  year = {2026},
  month = jul,
  url = {https://europepmc.org/article/PMC/PMC13700388},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Use of multi-modal artificial intelligence model for prediction of atrial fibrillation in hospitalized patients
AU  - Unmesh Khanolkar
AU  - Ashish Yadav
AU  - Avdhesh Mann
AU  - Laith Alomari
AU  - Emmanuel Otabor
AU  - Rukmini Pisipati
AU  - Abhishek Deshmukh
AU  - Scott Pappada
AU  - Abhishek Maan
PY  - 2026
DA  - 2026/07/02
JO  - Heart rhythm O2
UR  - https://europepmc.org/article/PMC/PMC13700388
SN  - 2666-5018
ER  -