Analyzing the Role of Edge Computing in Enhancing AI Applications in Healthcare
Dr. Syeda Farhath Begum,
Sannnella Prabhaker,
Athira Pradeep K
This research investigates the role of edge computing in enhancing artificial intelligence (AI) applications
within the healthcare sector. By comparing edge computing to traditional cloud computing, the study
focuses on key performance metrics such as latency, bandwidth consumption, data privacy, real-time
processing efficiency, storage costs, and response time for critical alerts. The results demonstrate that
edge computing significantly reduces latency and bandwidth usage while improving data security and
real-time processing capabilities, making it a superior choice for AI-powered healthcare applications
such as diagnostics, predictive analytics, personalized medicine, and remote patient monitoring. The
findings highlight the potential of edge computing to address the growing demands of AI in healthcare
by providing more efficient, secure, and responsive solutions, ultimately improving patient outcomes and
operational efficiency in healthcare environments.
