The intricacies and limitations of AI-driven medical image analysis are the focus of this paper, particularly challenges in acquiring, preprocessing, and analyzing medical imaging data. We explore how Artificial Intelligence (AI) presents significant potential to revolutionize this field: improving diagnostic accuracy; streamlining workflows–even enhancing patient outcomes. Our investigation delves deep into two key aspects – integrating AI technologies into existing systems like Picture Archiving and Communication Systems (PACS), discussing their implications not only for clinical practice but also for elevating patient care. Our goal: to confront present difficulties and unleash the complete potential of Artificial Intelligence in revolutionizing medical image analysis; we intend this pursuit through a multi-disciplinary strategy--one that encourages cooperation among healthcare professionals, data scientists, and computer engineers.
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