AI Integration in PACS: Advancing Medical Imaging and Healthcare Delivery

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.