From Concept to Reality: Advancing Healthcare Through Biomedical Engineering and AI

EasyChair Preprint no. 12169

Abstract

The synergy between biomedical engineering and artificial intelligence (AI) is revolutionizing healthcare by bridging the gap between concept and reality. This paper explores the pivotal role of biomedical engineering and AI in advancing healthcare, focusing on their collaborative applications across various domains such as medical imaging, diagnostics, personalized medicine, and treatment optimization. By harnessing cutting-edge technologies, including machine learning algorithms, deep learning networks, and wearable devices, healthcare providers can enhance patient care, streamline workflows, and improve clinical outcomes. Moreover, this paper discusses the challenges and future prospects of integrating biomedical engineering and AI, emphasizing the importance of interdisciplinary collaboration, ethical considerations, and regulatory frameworks. Ultimately, the convergence of biomedical engineering and AI holds immense potential to transform healthcare delivery, ushering in a new era of precision medicine and improved patient well-being.

Keyphrases: Artificial Intelligence, Biomedical Engineering, deep learning, diagnostics, Healthcare, machine learning, Medical Imaging, personalized medicine, treatment optimization

@Booklet{EasyChair:12169,
  author = {Asad Ali},
  title = {From Concept to Reality: Advancing Healthcare Through Biomedical Engineering and AI},
  howpublished = {EasyChair Preprint no. 12169},

  year = {EasyChair, 2024}}