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http://dx.doi.org/10.1016/j.hrcr.2025.05.016 | DOI Listing |
HeartRhythm Case Rep
August 2025
Division of Cardiology, University of Minnesota, Minneapolis, Minnesota.
Commun Med (Lond)
August 2025
School of Medical Technology, Beijing Institute of Technology, Beijing, China.
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 PDFJ Med Eng Technol
August 2025
Department of Engineering, Università degli Studi di Palermo, Palermo, Italy.
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 PDFCureus
July 2025
Emergency Medicine, Sri Devaraj Urs Medical College,, Kolar, IND.
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 PDFMed Sci Monit
July 2025
Department of Plastic, Reconstructive, and Microsurgery, Medical University of Lublin, Lublin, Poland.
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.
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