Evidence map›Paper›PMID 37217483›Full record

ArticleScientific reports2023

GPU accelerated digital twins of the human heart open new routes for cardiovascular research.

Francesco Viola, Giulio Del Corso, Ruggero De Paulis, Roberto Verzicco

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
15.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. A Real-Time Digital Twin for Human Cardiovascular Applications.International journal for numerical methods in biomedical engineering · 2026
    Article
  4. The Mind From Within: Visceral Roots of Human Cognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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  9. iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract).Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Francesco ViolaGran Sasso Science Institute (GSSI), L'Aquila, Italy.
Giulio Del CorsoGran Sasso Science Institute (GSSI), L'Aquila, Italy.
Ruggero De PaulisEuropean Hospital, Rome, Italy.
Roberto VerziccoGran Sasso Science Institute (GSSI), L'Aquila, Italy. roberto.verzicco@gssi.it.
Gran Sasso Science Institute · ITSaint Camillus International University of Health and Medical Sciences · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recruitment of patients for rare or complex cardiovascular diseases is a bottleneck for clinical trials and digital twins of the human heart have recently been proposed as a viable alternative. In this paper we present an unprecedented cardiovascular computer model which, relying on the latest GPU-acceleration technologies, replicates the full multi-physics dynamics of the human heart within a few hours per heartbeat. This opens the way to extensive simulation campaigns to study the response of synthetic cohorts of patients to cardiovascular disorders, novel prosthetic devices or surgical procedures. As a proof-of-concept we show the results obtained for left bundle branch block disorder and the subsequent cardiac resynchronization obtained by pacemaker implantation. The in-silico results closely match those obtained in clinical practice, confirming the reliability of the method. This innovative approach makes possible a systematic use of digital twins in cardiovascular research, thus reducing the need of real patients with their economical and ethical implications. This study is a major step towards in-silico clinical trials in the era of digital medicine.

Indexed as

Cardiac Resynchronization TherapyCardiovascular SystemHeart FailurePacemaker, ArtificialBundle-Branch BlockElectrocardiographyHumansReproducibility of ResultsTreatment Outcome

Identifiers

PMID37217483
PMCPMC10203142
OpenAlexW4377291634

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.