Evidence map›Paper›PMID 40283240›Full record

ReviewMicromachines2025

Advanced Robotics for the Next-Generation of Cardiac Interventions.

Majid Roshanfar, Mohammadhossein Salimi, Amir Hossein Kaboodrangi, Sun-Joo Jang, Albert J Sinusas, Shing-Chiu Wong, Bobak Mosadegh

Abstract readReview
In one paragraph

Review in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
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

7 authors.

Majid RoshanfarDepartment of Mechanical Engineering, Gina Cody School of Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.ORCID 0000-0003-3738-7782
Mohammadhossein SalimiDepartment of Mechanical Engineering, York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0003-3824-1099
Amir Hossein KaboodrangiDepartment of Surgery, Broward Health, Fort Lauderdale, FL 33316, USA.
Sun-Joo JangSection of Cardiovascular Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT 06519, USA.ORCID 0000-0002-4311-4855
Albert J SinusasSection of Cardiovascular Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT 06519, USA.ORCID 0000-0003-0972-9589
Shing-Chiu WongDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0002-6064-5199
Bobak MosadeghDalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0003-0607-2825

Funding

Training In Multi-modality Molecular & Translational Cardiovascular ImagingT32HL098069 · NHLBI · YALE UNIVERSITY · PI JAMES S DUNCAN, Georges El Fakhri · 2010 to 2026
$5.2M
NHLBI NIH HHS T32 HL098069NIH HHS 1T32HL098069-24A1
6 · The paper itself

Abstract

With an increasing number of elderly individuals, the demand for advanced technologies to treat cardiac diseases has become more critical than ever. Additionally, there is a pressing need to reduce the learning curve for cardiac interventionalists to keep pace with the rapid development of new types of procedures and devices and to expand the adoption of established procedures in more hospitals. This comprehensive review aims to shed light on recent advancements in novel robotic systems for cardiac interventions. To do so, this review provides a brief overview of the history of previously developed robotic systems and describes the necessity for advanced technologies for cardiac interventions to address the technological limitations of current systems. Moreover, this review explores the potential of cutting-edge technologies and methods in developing the next generation of intra-procedure autonomous navigation. Each highlighted topic undergoes a critical analysis to evaluate its technical limitations and the challenges that must be addressed for successful clinical implementation.

Indexed as

artificial intelligenceautonomous navigationcardiac interventionhaptic feedbacksoft roboticstelerobotics

Identifiers

PMID40283240
PMCPMC12029671

What OpenQuestion holds

Textmetadata
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.