Integrating artificial intelligence in medical imaging for precision therapy: The role of ai in segmentation, laser-guided procedures, and protective shielding
1 PhD candidate, Babcock University, Ilisan Ogun State, Nigeria.
2 Public Health Researcher, New York Medical College, New York, USA.
3 Researcher, University of Arkansas, Little Rock, USA.
4 Data Analyst- Health Catalyst Inc. South Jordan, Utah, USA.
5 UX/HCI Researcher, Indiana University Indianapolis, USA.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(03), 1078–1096
Article DOI: 10.30574/wjarr.2024.23.3.2751
Publication history:
Received on 30 July 2024; revised on 06 September 2024; accepted on 09 September 2024
Abstract:
The rapid integration of artificial intelligence (AI) in medical imaging has transformed the healthcare landscape, enabling precision therapy for a range of diseases. This article explores the key roles of AI in medical imaging, particularly focusing on three vital areas: segmentation, laser-guided procedures, and protective shielding. AI-driven segmentation tools offer unprecedented accuracy in identifying pathological regions, improving diagnostic efficiency, and aiding in personalized treatment plans. Laser-guided procedures, powered by AI algorithms, provide enhanced precision in targeting affected tissues, minimizing damage to healthy tissues, and promoting faster recovery times. Additionally, AI has made significant strides in optimizing protective shielding techniques, ensuring patient safety while minimizing radiation exposure during imaging and therapy. The article discusses the technological advances, clinical applications, challenges, and future directions of AI in these domains. Through this synthesis, the potential of AI to revolutionize medical imaging and contribute to more effective, safer, and personalized therapies becomes evident.
Keywords:
Artificial Intelligence; Medical Imaging; Precision Therapy; AI Segmentation; Laser-Guided Procedures; Protective Shielding
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0