Advancing Patient Outcomes: the Intersection of Biomedical Engineering, Medical Devices, and AI

EasyChair Preprint 12174

Abstract

Advancements in biomedical engineering, coupled with the integration of medical devices and artificial intelligence (AI), have significantly transformed healthcare landscapes. This interdisciplinary convergence presents unprecedented opportunities to enhance patient outcomes through personalized diagnostics, targeted therapies, and improved healthcare delivery. This paper explores the symbiotic relationship between biomedical engineering, medical devices, and AI, elucidating their collective impact on patient care. Key areas of focus include the development of smart medical devices, real-time patient monitoring, predictive analytics, and the integration of AI algorithms in diagnosis and treatment planning. Through case studies and examples, we illustrate how this intersection is revolutionizing healthcare, enabling precision medicine, reducing treatment costs, and fostering a proactive approach to patient management. Challenges such as data privacy, regulatory considerations, and ethical implications are also discussed. As we navigate this dynamic landscape, collaboration among engineers, medical professionals, and data scientists becomes imperative for harnessing the full potential of these technologies. This paper serves as a comprehensive exploration of the evolving nexus between biomedical engineering, medical devices, and AI, offering insights into the future of healthcare and the continuous pursuit of improved patient outcomes.

Keyphrases: Artificial Intelligence, Biomedical Engineering, Challenges, Healthcare, Innovation, Patient Outcomes, medical devices, technology integration, treatment

@booklet{EasyChair:12174,
  author    = {Haney Zaki},
  title     = {Advancing Patient Outcomes: the Intersection of Biomedical Engineering, Medical Devices, and AI},
  howpublished = {EasyChair Preprint 12174},
  year      = {EasyChair, 2024}}