Artificial Intelligence in Biomedical Engineering and Its Influence on Healthcare Structure: Current and Future...

Area of Science:

• Biomedical Engineering
• Computer Science
• Data Science

Background:

• Artificial intelligence (AI) integrates computer science and data science to create intelligent systems capable of analyzing large datasets.
• AI's data analysis capabilities are crucial for advancements in various fields, notably healthcare.
• The application of AI in biomedical engineering is rapidly expanding, driving innovation in medical technology.

Purpose of the Study:

• To introduce artificial intelligence (AI) and its fundamental principles.
• To explore the pivotal role of AI in biomedical engineering and healthcare technology.
• To highlight emerging AI applications in diagnostics, medical imaging, and health monitoring.

Main Methods:

• Review of current artificial intelligence technologies and their subfields.
• Analysis of AI's impact on biomedical engineering, focusing on AI-enabled devices like biosensors.
• Examination of AI applications in medical diagnostics, computer vision, and live health monitoring.

Main Results:

• AI is revolutionizing healthcare technology, with significant implications for biomedical engineering.
• AI-based biosensors offer capabilities for detecting physiological abnormalities and enabling chronic health tracking.
• Promising AI applications include highly accurate, non-invasive diagnostics like advanced imaging and vocal biomarker analysis.

Conclusions:

• The adoption of artificial intelligence in healthcare is projected to be substantial.
• AI is poised to lead medicine into the future, particularly in diagnostic capabilities.
• AI-driven innovations in biomedical engineering will enhance patient care and health monitoring.