AI Integration in PACS: Advancing Medical Imaging and Healthcare Delivery

Author(s)	Manuel Joy
Country	United States
Abstract	The integration of Artificial Intelligence (AI) into Picture Archiving and Communication Systems (PACS) represents a significant advancement in medical imaging technology. This article examines the transformative impact of AI-enabled PACS on healthcare delivery, focusing on diagnostic capabilities, workflow optimization, and societal implications. Through analysis of implementation case studies, particularly the GE PACS system, we explore how AI integration enhances diagnostic accuracy, improves workflow efficiency, and democratizes healthcare access. The article addresses critical considerations including data security, algorithm bias, and validation protocols, while also examining future implications and providing implementation recommendations. The article demonstrates that AI-enabled PACS systems significantly improve diagnostic accuracy, reduce interpretation times, and enhance healthcare accessibility, particularly in underserved areas, while highlighting the importance of addressing ethical considerations and maintaining robust security measures.
Keywords	Medical Imaging Technology, Artificial Intelligence Integration, Healthcare Accessibility, Diagnostic Workflow Optimization, Clinical Decision Support.
Field	Computer Applications
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-03-29
DOI	https://doi.org/10.71097/IJSAT.v16.i1.2930

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology