Intersection of Biomedical Engineering and AI: Shaping the Future of Healthcare

EasyChair Preprint 12162

Abstract

The intersection of Biomedical Engineering and Artificial Intelligence (AI) heralds a transformative era in healthcare delivery. This synergy capitalizes on AI's computational prowess to revolutionize biomedical research, diagnosis, treatment, and patient care. In this paper, we explore the multifaceted ways in which AI augments Biomedical Engineering, enhancing healthcare outcomes and shaping the future landscape of medicine. AI-driven algorithms empower clinicians and researchers with advanced tools for medical imaging interpretation, genomic analysis, drug discovery, and personalized medicine. Machine learning models process vast datasets to discern patterns, predict disease progression, and optimize treatment strategies tailored to individual patients. Moreover, AI facilitates the development of wearable devices and medical sensors, fostering continuous monitoring and real-time feedback for proactive healthcare interventions. Beyond diagnosis and treatment, AI optimizes healthcare operations by streamlining administrative tasks, improving resource allocation, and enhancing patient experiences. Telemedicine platforms leverage AI to expand access to healthcare services, especially in underserved areas. Ethical considerations, such as data privacy, algorithmic bias, and regulatory frameworks, are paramount in this evolving landscape, necessitating interdisciplinary collaboration and ethical guidelines. As AI continues to evolve, its integration with Biomedical Engineering holds immense promise for healthcare innovation.

Keyphrases: Artificial Intelligence, Biomedical Engineering, Healthcare, Telemedicine, diagnosis, machine learning, personalized medicine, treatment

@booklet{EasyChair:12162,
  author    = {Battle Hurry},
  title     = {Intersection of Biomedical Engineering and AI: Shaping the Future of Healthcare},
  howpublished = {EasyChair Preprint 12162},
  year      = {EasyChair, 2024}}