ReviewJournal of clinical medicine2024
Application of Mixed/Augmented Reality in Interventional Cardiology.
Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Exploring double low-dose CT technology for achieving coronary mixed reality radiation dose reduction: a preliminary study in coronary artery disease patients.Quantitative imaging in medicine and surgery · 2026Article
- Mixed Reality-Assisted Planning Enables Successful Coil Embolization of Anatomically Complex Peridevice Leak After LAAC.Anatolian journal of cardiology · 2026Article
- Virtual reality in percutaneous coronary intervention: from coronary imaging and procedural planning to patient care.The international journal of cardiovascular imaging · 2026Review
- Precision percutaneous coronary intervention.NPJ cardiovascular health · 2026Review
- Reimagining cardiac care with AI, LLMs, blockchain, and metaverse.Global cardiology science & practice · 2026Review
- Augmented and Mixed Reality in Cardiac Surgery: A Narrative Review.Journal of clinical medicine · 2026Review
- Exploring the Potential of AI and Augmented Reality in Cardiovascular Disease Management: A Narrative Review.Current cardiology reviews · 2026Review
- Usability Evaluation of a Mixed Reality Platform in Pediatric Interventional Cardiology by Specialist Physicians: Mixed Methods Study.JMIR formative research · 2025Article
- Augmented reality for guiding resuscitation in rare cardiac channelopathies: a call for innovation in emergency care.Annals of medicine and surgery (2012) · 2025Article
- Optimizing Cardiovascular Care in Aging Populations: A Comprehensive Review of Geriatric Cardiology.Cureus · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review explores the transformative applications of augmented reality (AR) and mixed reality (MR) technologies in interventional cardiology. The integration of these cutting-edge systems offers unprecedented potential to enhance visualization, guidance, and outcomes during complex cardiac interventional procedures. This review examines four key domains: (1) medical AR/MR systems and technological foundations; (2) clinical applications across procedures like TAVI, PCI, and electrophysiology mapping; (3) ongoing technology development and validation efforts; and (4) educational and training applications for fostering essential skills. By providing an in-depth analysis of the benefits, challenges, and future directions, this work elucidates the paradigm shift catalyzed by AR and MR in advancing interventional cardiology practices. Through meticulous exploration of technological, clinical, and educational implications, this review underscores the pivotal role of these innovative technologies in optimizing procedural guidance, improving patient outcomes, and driving innovation in cardiovascular care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.