Use of AI/ML-Based Systems in Healthcare Domain in Reference with COVID-19 Pandemic
Advanced technologies and day-to-day research have led to restructure of society in almost every domain, along with healthcare as well as medical sector, in respect to the last decade. Artificial intelligence (AI)/ Machine learning (ML) algorithms and technologies are being used to redesign and optimize wireless networks efficiently in prospects like measurement, estimation, and modeling of channels; research in the physical layer, etc. Multiple AI-based tools majorly assist the healthcare sector all over the globe. Automation of systems and devices has been established across the globe with the expansion of digitalisation. Automation offers and allows us to deal with the real- world problems smartly. Deep learning (DL) and AI-based systems and software allow precise analysis of the infection and counterbalance the shortage of time, resources, and staff required for imaging and diagnosis procedures. The current review is based on the application of Artificial intelligence as a principal idea in reference with the early disease detection and diagnosis with accuracy, timely treatment with precision, and moreover focuses on the prevention of various diseases through smart devices.
Authors
- Vishwajeet Vishwajeet
- Ayushi Singh (ORCID: https://orcid.org/0000-0001-6022-3618)
Institutions
- Dayalbagh Educational Institute (IN)
- Sharda University (IN)
Publication Details
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1109/icsc64553.2025.10968442
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00