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References from Digital Twins and Offline Reinforcement Learning for Mechanical Circulatory Support Decisions: What the Current Evidence Can and Cannot Support. Local targets link to admitted publications; unresolved targets remain external evidence.
Durable mechanical circulatory support: JACC scientific statement
10.1016/j.jacc.2023.07.019 · 2023 · External reference
Escalating and de-escalating temporary mechanical circulatory support in cardiogenic shock: a scientific statement from the American Heart Association
10.1161/cir.0000000000001076 · 2022 · External reference
The International Society for Heart and Lung Transplantation/Heart Failure Society of America guideline on acute mechanical circulatory support
10.1016/j.healun.2022.10.028 · 2023 · External reference
2022 AHA/ACC/HFSA guideline for the management of heart failure: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines
10.1161/cir.0000000000001063 · 2022 · External reference
2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure
10.1093/eurheartj/ehab368 · 2021 · External reference
2019 EACTS expert consensus on long-term mechanical circulatory support
10.1093/ejcts/ezz098 · 2019 · External reference
SCAI SHOCK stage classification expert consensus update: a review and incorporation of validation studies: This statement was endorsed by the American College of Cardiology (ACC), American College of Emergency Physicians (ACEP), American Heart Association (AHA), European Society of Cardiology (ESC) Association for Acute Cardiovascular Care (ACVC), International Society for Heart and Lung Transplantation (ISHLT), Society of Critical Care Medicine (SCCM), and Society of Thoracic Surgeons (STS) in December 2021
10.1016/j.jacc.2022.01.018 · 2022 · External reference
The "digital twin" to enable the vision of precision cardiology
10.1093/eurheartj/ehaa159 · 2020 · External reference
Up digital and personal: how heart digital twins can transform heart patient care
10.1016/j.hrthm.2023.10.019 · 2024 · External reference
The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care
10.1038/s41591-018-0213-5 · 2018 · External reference
Guidelines for reinforcement learning in healthcare
10.1038/s41591-018-0310-5 · 2019 · External reference
Reinforcement learning for clinical decision support in critical care: comprehensive review
10.2196/18477 · 2020 · External reference
Probabilistic digital twin for data-driven smart weaning of mechanical circulatory devices
2025 · External reference
Data-driven simulator for mechanical circulatory support with domain adversarial neural process
2024 · External reference
Guardian-regularized safe offline reinforcement learning for smart weaning of mechanical circulatory devices
2026 · External reference
10.1186/s41073-019-0064-8 · 2019 · Admitted local publication
Development of a novel echocardiography ramp test for speed optimization and diagnosis of device thrombosis in continuous-flow left ventricular assist devices: the Columbia ramp study
10.1016/j.jacc.2012.07.052 · 2012 · External reference
The "TIDE"-algorithm for the weaning of patients with cardiogenic shock and temporarily mechanical left ventricular support with Impella devices. A cardiovascular physiology-based approach
10.3389/fcvm.2021.563484 · 2021 · External reference
Structured weaning from the Impella left ventricular micro-axial pump in acute myocardial infarction with cardiogenic shock and protected percutaneous coronary intervention: experience from a non-cardiac surgical centre
10.1016/j.hlc.2023.12.007 · 2024 · External reference
A detailed explantation assessment protocol for patients with left ventricular assist devices with myocardial recovery
10.1093/icvts/ivaa259 · 2021 · External reference
Clinical outcomes and predictors of success with Impella weaning in cardiogenic shock: a single-center experience
10.3389/fcvm.2023.1171956 · 2023 · External reference
Left ventricular assist device and drug therapy for the reversal of heart failure
10.1056/nejmoa053063 · 2006 · External reference
Reversal of severe heart failure with a continuous-flow left ventricular assist device and pharmacological therapy: a prospective study
10.1161/circulationaha.109.933960 · 2011 · External reference
Prospective multicenter study of myocardial recovery using left ventricular assist devices (RESTAGE-HF [Remission from Stage D Heart Failure]): medium-term and primary end point results
10.1161/circulationaha.120.046415 · 2020 · External reference
Cardiac recovery during long-term left ventricular assist device support
10.1016/j.jacc.2016.07.743 · 2016 · External reference
Myocardial recovery in patients receiving contemporary left ventricular assist devices: results from the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS)
10.1161/circheartfailure.116.003157 · 2016 · External reference
Ventricular recovery and pump explantation in patients supported by left ventricular assist devices: a systematic review
10.1097/mat.0000000000000328 · 2016 · External reference
Incidence, outcomes, and opportunity for left ventricular assist device weaning for myocardial recovery
10.1016/j.jchf.2023.12.006 · 2024 · External reference
A fully magnetically levitated left ventricular assist device - final report
10.1056/nejmoa1900486 · 2019 · External reference
Intraaortic balloon support for myocardial infarction with cardiogenic shock
10.1056/nejmoa1208410 · 2012 · External reference
Intraaortic balloon pump in cardiogenic shock complicating acute myocardial infarction: long-term 6-year outcome of the randomized IABP-SHOCK II trial
10.1161/circulationaha.118.038201 · 2019 · External reference
Extracorporeal life support in infarct-related cardiogenic shock
10.1056/nejmoa2307227 · 2023 · External reference
Extracorporeal membrane oxygenation in the therapy of cardiogenic shock: results of the ECMO-CS randomized clinical trial
10.1161/circulationaha.122.062949 · 2023 · External reference
Microaxial flow pump or standard care in infarct-related cardiogenic shock
10.1056/nejmoa2312572 · 2024 · External reference
Temporary mechanical circulatory support in infarct-related cardiogenic shock: an individual patient data meta-analysis of randomised trials with 6-month follow-up
10.1016/s0140-6736(24)01448-x · 2024 · External reference
Personalized virtual-heart technology for guiding the ablation of infarct-related ventricular tachycardia
10.1038/s41551-018-0282-2 · 2018 · External reference
Virtual pacing of a patient's digital twin to predict left ventricular reverse remodelling after cardiac resynchronization therapy
10.1093/europace/euae009 · 2023 · External reference
Digital twin applications in adult critical care: a scoping review of current development and implementation trends
10.1177/20552076261438961 · 2026 · External reference
Recurrent neural networks for multivariate time series with missing values
10.1038/s41598-018-24271-9 · 2018 · External reference
RETAIN: an interpretable predictive model for healthcare using reverse time attention mechanism
2016 · External reference
BEHRT: transformer for electronic health records
10.1038/s41598-020-62922-y · 2020 · External reference
Temporal fusion transformers for interpretable multi-horizon forecasting
10.1016/j.ijforecast.2021.03.012 · 2021 · External reference
DeepHit: a deep learning approach to survival analysis with competing risks
10.1609/aaai.v32i1.11842 · 2018 · External reference
Dynamic-DeepHit: a deep learning approach for dynamic survival analysis with competing risks based on longitudinal data
10.1109/tbme.2019.2909027 · 2020 · External reference
An overview of joint modeling of time-to-event and longitudinal outcomes
10.1146/annurev-statistics-030718-105048 · 2019 · External reference
A new approach to linear filtering and prediction problems
10.1115/1.3662552 · 1960 · External reference
A tutorial on hidden Markov models and selected applications in speech recognition
10.1109/5.18626 · 1989 · External reference
Spectra of some self-exciting and mutually exciting point processes
10.1093/biomet/58.1.83 · 1971 · External reference
Distributed lag non-linear models
10.1002/sim.3940 · 2010 · External reference
Machine learning-based prediction of myocardial recovery in patients with left ventricular assist device support
10.1161/circheartfailure.121.008711 · 2022 · External reference
Strictly proper scoring rules, prediction, and estimation
10.1198/016214506000001437 · 2007 · External reference
rECMOmender: reinforcement learning for decision support in venovenous extracorporeal membrane oxygenation management
10.1097/cce.0000000000001369 · 2026 · External reference
MOPO: model-based offline policy optimization
2020 · External reference
Doubly robust off-policy value evaluation for reinforcement learning
2016 · External reference
Negative controls: a tool for detecting confounding and bias in observational studies
10.1097/ede.0b013e3181d61eeb · 2010 · External reference
Using big data to emulate a target trial when a randomized trial is not available
10.1093/aje/kwv254 · 2016 · External reference
Marginal structural models and causal inference in epidemiology
10.1097/00001648-200009000-00011 · 2000 · External reference
The 2018 ISHLT/APM/AST/ICCAC/STSW recommendations for the psychosocial evaluation of adult cardiothoracic transplant candidates and candidates for long-term mechanical circulatory support
10.1016/j.psym.2018.04.003 · 2018 · External reference
Association between psychosocial factors and left ventricular assist device implant outcomes: a systematic review
10.1016/j.genhosppsych.2024.08.007 · 2024 · External reference
MIMIC-IV, a freely accessible electronic health record dataset
10.1038/s41597-022-01899-x · 2023 · External reference
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
10.1038/sdata.2018.178 · 2018 · External reference
HiRID, A High Time-Resolution ICU Dataset (version 1.1.1)
10.13026/nkwc-js72 · 2021 · External reference
Early prediction of circulatory failure in the intensive care unit using machine learning
10.1038/s41591-020-0789-4 · 2020 · External reference
MEDS - an emerging data standard and ecosystem for health AI research
10.1056/aira2501253 · 2026 · External reference
CardioEHR: a longitudinal electronic health record dataset of cardiovascular patients from central China
10.1038/s41597-026-06855-7 · 2026 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
10.1136/bmj-2024-082505 · 2025 · External reference
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
10.1038/s41591-022-01772-9 · 2022 · External reference
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
10.1038/s41591-020-1037-7 · 2020 · External reference
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
10.1038/s41591-020-1034-x · 2020 · External reference
Use of artificial intelligence in improving outcomes in heart disease: a scientific statement from the American Heart Association
10.1161/cir.0000000000001201 · 2024 · External reference
How to benchmark medical AI agents
10.1371/journal.pmed.1005170 · 2026 · External reference
Unresolved reference
External reference