Cardiovascular Health with Vision Transformers
This study aims to revolutionize cardiovascular health detection by pioneering the integration of state-of-the-art technologies such as artificial intelligence (AI), wearable devices, and genetic screening into a cohesive framework. This innovative approach seeks to enhance cardiovascular disease detection and intervention methods by combining AI algorithms for robust data analysis, wearable devices for continuous real-time monitoring of crucial physiological parameters, and genetic screening for personalized risk assessment. By pushing the boundaries of interdisciplinary research and adopting novel methodologies, this project aims not only to identify preventive strategies and personalized treatment options but also to fundamentally transform the entire paradigm of cardiovascular healthcare delivery.
Authors
- Priyanka Kaushik (ORCID: https://orcid.org/0000-0003-4766-8772)
- P Aswathy
- Aditya Mathur (ORCID: https://orcid.org/0000-0003-2404-9231)
- Surendra Jain (ORCID: https://orcid.org/0000-0003-3859-1304)
- Susheel Kumar (ORCID: https://orcid.org/0009-0000-9434-6229)
- Ashish Saxena (ORCID: https://orcid.org/0000-0001-8661-932X)
Institutions
- Chandigarh University (IN)
- Lingaya's Vidyapeeth (IN)
- Mangalayatan University (IN)
- Dhanalakshmi Srinivasan Group of Institutions (IN)
- Usha Martin (India) (IN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/aece62803.2024.10911566
- Primary Topic
- Cardiovascular Health and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00