VascularVision: Mixed Reality Based Teaching and Learning Environment for Cardiovascular Conditions
Developments in Augmented Reality (AR) and Virtual Reality (VR) have the potential to revolutionize medical education, especially in the areas of Coronary Angiography and Cardiac Auscultation. By giving medical and nursing students realistic, interactive experiences, the suggested VR and AR settings seek to modernize medical education by addressing the issues regarding the lack of real-world practice. Interactive 3D models, such as a realistic virtual body, rotatable heart models, ECG recordings, and real-life heart sounds, are available in the VR Cardiac Auscultation Environment. With the use of these components, students can practice diagnosing diseases including bradycardia, tachycardia, and cardiac murmurs in a dynamic and risk-free setting, improving their diagnostic skills. Similar to this, the AR Cardiac Auscultation Application combines interactive quizzes, machine learning for diagnostic verification, and real-time ECG scans to provide a powerful tool for teaching students how to recognize and understand various heart diseases and noises, this also can be a verification tool for junior doctors. By giving students firsthand experience with intricate medical procedures, virtual reality and augmented reality platforms offer a compelling and realistic approach to medical education. According to the research, these instruments can greatly enhance diagnostic proficiency, which will ultimately result in better educational outcomes and more qualified healthcare workers.
Authors
- Didula Thanaweera Arachchi
- Pradeep K. W. Abeygunawardhana (ORCID: https://orcid.org/0000-0001-9461-5433)
- Hashith Nissanka
- Sajini Wijayasundara
- Jude Rajarathne
- Sahan Vidanagamage
Institutions
- Sri Lanka Institute of Information Technology (LK)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icac64487.2024.10851104
- Citations
- 2
- Primary Topic
- Anatomy and Medical Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.37