The integration of Artificial Intelligence (AI) into diagnostic imaging has revolutionized the field of medicine, transforming the way professionals interpret medical images. This paper explores the advancements in AI-enabled diagnostic imaging techniques and their impact on patient care. We discuss the evolution of AI algorithms that have the potential to detect patterns and anomalies in medical images, such as X-rays, MRI scans, and CT scans, with a higher degree of accuracy and speed compared to traditional methods. The paper further examines the challenges and opportunities presented by AI in radiology, including improved diagnostic accuracy, reduced radiologist workload, and the potential for personalized medicine. We also delve into the ethical considerations and future directions of AI in diagnostic imaging, underscoring the need for robust validation and standardization of AI tools. Overall, this paper presents a comprehensive overview of AI's role in enhancing diagnostic imaging techniques, emphasizing both the benefits and the critical need for vigilance in ensuring patient safety and data privacy.
Harris, D. AI-Enabled Diagnostic Imaging Techniques in Medicine. Information Sciences and Technological Innovations, 2020, 2, 8. https://doi.org/10.69610/j.isti.20200422
AMA Style
Harris D. AI-Enabled Diagnostic Imaging Techniques in Medicine. Information Sciences and Technological Innovations; 2020, 2(1):8. https://doi.org/10.69610/j.isti.20200422
Chicago/Turabian Style
Harris, David 2020. "AI-Enabled Diagnostic Imaging Techniques in Medicine" Information Sciences and Technological Innovations 2, no.1:8. https://doi.org/10.69610/j.isti.20200422
APA style
Harris, D. (2020). AI-Enabled Diagnostic Imaging Techniques in Medicine. Information Sciences and Technological Innovations, 2(1), 8. https://doi.org/10.69610/j.isti.20200422
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