Affiliation:
1. Ajeenkya D.Y. Patil University, India
2. Sikkim Manipal Institute of Technology, Majitar, India
Abstract
Recent breakthroughs in artificial intelligence (AI) have ignited a new era of possibilities in healthcare and biomedical engineering. When combined with advancements in biotechnology, AI unlocks unprecedented solutions for diagnostics, treatment, and patient management. This chapter examines the burgeoning role of AI in biomedical applications, focusing on key areas like medical imaging, diagnostics, treatment planning, and patient surveillance. It investigates how AI tackles tasks like abnormality detection in scans and physiological signals, vocal biomarker analysis, and long-term health monitoring. The emergence of efficient, non-invasive AI-powered tools, including high-precision image scanners and machine learning-driven vocal detectors, underscores the critical role AI will likely play in the future of healthcare. By analyzing the current state and trajectory of AI in biomedical engineering, this chapter explores the promise of this increasingly integrated partnership, paving the way for a more precise, personalized, and efficient healthcare landscape.