Vol. 4 No. 1 (2024): Journal of Machine Learning in Pharmaceutical Research
Articles

AI-Powered Image-Guided Surgical Systems for Enhanced Precision

Dr. Mei Chen
Lecturer, Health Informatics, Lotus University, Beijing, China
Cover

Published 16-04-2024

Keywords

  • AI,
  • image-guided surgery,
  • surgical precision,
  • machine learning

How to Cite

[1]
Dr. Mei Chen, “AI-Powered Image-Guided Surgical Systems for Enhanced Precision”, Journal of Machine Learning in Pharmaceutical Research, vol. 4, no. 1, pp. 1–7, Apr. 2024, Accessed: Sep. 17, 2024. [Online]. Available: https://pharmapub.org/index.php/jmlpr/article/view/3

Abstract

AI-powered image-guided surgical systems represent a significant advancement in surgical technology, offering enhanced precision and improved patient outcomes. This research paper explores the integration of artificial intelligence (AI) technologies, such as machine learning and computer vision, into image-guided surgical systems. The paper discusses how AI algorithms can analyze medical images in real time, providing surgeons with critical information and guidance during procedures. By leveraging AI, these systems can improve the accuracy of surgical interventions, reduce the risk of complications, and ultimately lead to better patient care. This paper reviews recent advancements in AI-powered image-guided surgical systems and discusses the challenges and future prospects of this technology in the field of surgery.

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