Revolutionizing Healthcare with AI: Advancements in Medical Device Software

Authors

  • 1Revathi Bommu 1University of Illinois Springfield, One University Plaza, Springfield, IL 62703 Author
  • Brian Jeffrey Department of Engineering, Yale State University Author

Keywords:

: Artificial Intelligence, AI, Medical Device Software, Healthcare, Machine Learning, Natural Language Processing, Computer Vision, Diagnostics, Personalized Treatment, Patient Outcomes.

Abstract

The integration of artificial intelligence (AI) into medical device software has
revolutionized healthcare delivery, paving the way for enhanced diagnostics, personalized
treatment plans, and improved patient outcomes. This paper explores the latest advancements in
AI-powered medical device software and their transformative impact on clinical practice. By
leveraging machine learning algorithms, natural language processing techniques, and computer
vision technologies, medical devices can now analyze complex medical data, interpret imaging
studies, and assist healthcare professionals in decision-making processes. Through a
comprehensive review of recent literature, case studies, and technological innovations, this paper
elucidates the potential benefits, challenges, and ethical considerations associated with the
adoption of AI in medical device software. By harnessing the power of AI, healthcare providers
can streamline workflows, reduce diagnostic errors, and deliver more personalized and effective
care to patients.

Downloads

Download data is not yet available.

Downloads

Published

2024-05-10

How to Cite

Revolutionizing Healthcare with AI: Advancements in Medical Device Software. (2024). International Journal of Advanced Engineering Technologies and Innovations, 1(3), 183-202. http://ijaeti.com/index.php/Journal/article/view/277