Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12399163PMC
http://dx.doi.org/10.1016/j.hrcr.2025.05.016DOI Listing

Publication Analysis

Top Keywords

pre-procedural simulation
4
simulation atrium
4
atrium left
4
left ventricle
4
ventricle puncture
4
puncture inferoseptal
4
inferoseptal process
4
process cardiac
4
cardiac computed
4
computed tomography
4

Similar Publications

Background: In percutaneous coronary intervention (PCI), the ability to predict post-PCI fractional flow reserve (FFR) and stented vessel informs procedural planning. However, highly precise and effective methods to quantitatively simulate coronary intervention are lacking. This study developed and validated a virtual coronary intervention (VCI) technique for non-invasive physiological and anatomical assessment of PCI.

View Article and Find Full Text PDF

Transcatheter aortic valve implantation (TAVI) is now the standard treatment for aortic stenosis, offering a less invasive alternative to surgery. While 3D printing and finite element analysis (FEA) show promise for pre-procedural planning, their accuracy in predicting post-TAVI device geometry remains unclear. This study evaluates the agreement between patient-specific FEA models, 3D-printed phantoms, and post-TAVI CT imaging in replicating implanted device geometry.

View Article and Find Full Text PDF

Introduction Medical education is shifting toward experiential, competency-based approaches that emphasize clinical reasoning and practical skills. Simulation-based learning (SBL) supports this shift by offering a safe, structured setting where students enhance cognitive and psychomotor abilities through active practice, timely feedback, and reflection. This fosters deeper engagement with clinical content and builds confidence before patient encounters.

View Article and Find Full Text PDF

BACKGROUND Aesthetic procedures aligning with societal beauty standards are gaining popularity, often driven by unrealistic beauty ideals. However, these treatments frequently disappoint individuals with low self-esteem and distorted self-images. AI tools offer potential for a more objective assessment, generating pre-treatment simulations.

View Article and Find Full Text PDF