AIoT for Cardiac Sensing: Advances & Perspectives
Source: frontiersin.org
Background
Artificial intelligence (AI) is becoming increasingly important in medical applications, including devices and healthcare tools, due to rapid advancements in science and technology. Research shows AI's potential in developing Internet of Things (IoT)-enabled medical devices, specifically for cardiac sensing.
Methods
This study explores current advancements and future directions of AI-driven IoT applications in cardiac sensing, highlighting their significance. A bibliometric approach visualizes key areas, emerging trends, and the evolution of this interdisciplinary field.
Results
As of December 2024, literature on IoT, cardiac sensors, and AI was retrieved from the SCIE and ESCI indices. CiteSpace was used to conduct a visualization analysis of countries/regions, academic publications, organizations, authors, citations, and key terminologies. The analysis included 2,128 papers.
Current advancements in AI-powered IoT cardiac sensors focus on optimizing AI algorithms, like deep learning, and enhancing smart wearable devices for precision medicine. This field is expected to prioritize data privacy protection, especially with large language models, to address challenges and ensure growth. The use of AI-powered IoT for cardiac sensing should continue as part of public health to enable early detection of heart diseases.