Technological Interventions of ML, Electronic-Based Testing and CAD Designs for Healthcare Systems
In the modern advancements of the intersections of healthcare diagnostics that could serve as the paradigm for neurodegenerative diseases, researchers have been looking into how AI/ML can be the key to unlock a promising future. With Telehealth, EHDs, power system optimizations and monitoring tools being more effective, researchers have been able to predict a more sustainable, accessible and transparent, in addition to a solid operation. EDAs and CADs have been implemented in electronic designs, and with the emergence of electronic health devices that have been used frequently and more accessible by oncologists and physicians, researchers predict a more efficient future, and have been testing the efficacy of these tools and interventions.
Authors
- A.K Khare
Institutions
- Jaypee Institute of Information Technology (IN)
Publication Details
- Journal
- Journal of Student Research
- Published
- 2024-08-31
- DOI
- https://doi.org/10.47611/jsr.v13i3.2571
- Primary Topic
- Biomedical and Engineering Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00