Digital Twins and Offline Reinforcement Learning for Mechanical Circulatory Support Decisions: What the Current Evidence Can and Cannot Support.

Li OM, Li Y, Li SXT

DOI: 10.7759/cureus.117234
Published: 2026 Sep
Container: Cureus
Publisher: Not recorded
Open access: yes

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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.7759/cureus.117234,
  title = {Digital Twins and Offline Reinforcement Learning for Mechanical Circulatory Support Decisions: What the Current Evidence Can and Cannot Support.},
  author = {Li OM and Li Y and Li SXT},
  year = {2026},
  journal = {Cureus},
  doi = {10.7759/cureus.117234},
  url = {https://doi.org/10.7759/cureus.117234}
}

RIS

TY  - JOUR
TI  - Digital Twins and Offline Reinforcement Learning for Mechanical Circulatory Support Decisions: What the Current Evidence Can and Cannot Support.
AU  - Li OM
AU  - Li Y
AU  - Li SXT
PY  - 2026
JO  - Cureus
DO  - 10.7759/cureus.117234
UR  - https://doi.org/10.7759/cureus.117234
ER  -

APA

OM, L., Y, L., & SXT, L. (2026). Digital Twins and Offline Reinforcement Learning for Mechanical Circulatory Support Decisions: What the Current Evidence Can and Cannot Support.. Cureus. https://doi.org/10.7759/cureus.117234

Source records

pubmed · retrieved 2026-11-10T08:17:07.309Z