Archives of Advances in Artificial Intelligence & Data Science and Machine Learning | Volume 1, Issue 1 | Research Article | Open Access
Soren Falkner*
Vienna University of Technology, Faculty of Computer Engineering, Vienna, Austria
*Correspondence to: Soren Falkner
Fulltext PDFThe healthcare landscape is rapidly evolving, with artificial intelligence (AI) and the advent of "smart" biosensors at the forefront of this transformation. This paper explores the synergistic power of these technologies in shaping the next generation of healthcare. Smart biosensors, equipped with on-device processing and communication capabilities, generate real-time, context-aware physiological data. When coupled with sophisticated AI algorithms, this data unlocks unprecedented opportunities for proactive health management, personalized diagnostics tailored therapeutic interventions. We examine key applications, including AI-driven analysis of continuous biosensor streams for early disease detection, predictive modeling for preventative care the development of closed-loop systems for automated treatment delivery. Furthermore, we discuss the potential of this integrated approach to enhance remote patient monitoring, improve patient engagement optimize healthcare resource allocation. While acknowledging the transformative potential, the abstract also touches upon the critical considerations surrounding data security, algorithmic transparency the ethical implications of deploying such advanced technologies in healthcare settings. Ultimately, the fusion of AI and smart biosensors promises a future of healthcare that is more intelligent, responsive centered around the individual.
Next-generation healthcare; Artificial intelligence (AI); Smart biosensors; Wearable technology; Continuous monitoring; Personalized medicine; Predictive analytics; Remote patient monitoring; Digital health; Intelligent systems
Falkner S. Next-Gen Healthcare: Powered by Artificial Intelligence and Smart Biosensors. Arch Adv Art Intel Data Sci Mach Learn 2025;1(1):1-8.