Archives of Advances in Artificial Intelligence & Data Science and Machine Learning | Volume 1, Issue 1 | Review Article | Open Access
Soren Falkner*
Vienna University of Technology, Faculty of Computer Engineering, Vienna, Austria
*Correspondence to: Soren Falkner
Fulltext PDFThe landscape of healthcare is undergoing a profound transformation, driven by the synergistic integration of artificial intelligence (AI) and biosensor technologies. This paper explores the burgeoning impact of this intelligent revolution, examining how AI algorithms are leveraging the rich, real-time data streams generated by advanced biosensors to usher in an era of more precise, proactive and personalized medicine. We delve into key applications, including enhanced diagnostics through AI-powered image analysis and biomarker detection, continuous patient monitoring for early anomaly detection and chronic disease management and the development of tailored treatment strategies informed by intelligent analysis of physiological data. Furthermore, we discuss the potential of these technologies to optimize drug discovery, streamline healthcare workflows and empower patients with greater control over their well-being. While acknowledging the transformative potential, the abstract also briefly touches upon the ethical considerations and challenges associated with the widespread adoption of AI and biosensors in healthcare. Ultimately, this convergence promises to reshape healthcare paradigms, moving towards a future where intelligent systems play a central role in promoting health, preventing disease and enhancing the quality of life.
Artificial intelligence (AI); Biosensors; Healthcare; Medical diagnostics; Continuous monitoring; Personalized medicine; Predictive analytics; Future technologies; Digital health; Intelligent systems
Falkner S. The Intelligent Revolution in Healthcare: AI and Biosensors Leading the Way. Arch Adv Art Intel Data Sci Mach Learn 2025;1(1):1-13.