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Current AI applications in abdominal diagnostic imaging Yasutaka Baba 1 1Department of Diagnostic Radiology Saitama Medical University International Medical Center Keyword: 深層学習 , computer vision , 生成AI pp.779-786
Published Date 2024/11/10
DOI https://doi.org/10.18888/rp.0000002785
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Recent advancements in artificial intelligence(AI)have garnered attention in medical imaging, particularly in abdominal diagnostics. This field, complex due to its anatomical diversity and individual variations, stands to benefit from AI’s potential to enhance diagnostic accuracy and efficiency. AI excels in processing large datasets and recognizing patterns, making it well-suited for image analysis. Deep learning has enabled AI to detect abnormalities with high precision. However, challenges persist, including securing quality training data, addressing the “black box” problem of AI decision-making, navigating legal and ethical issues, and implementing AI in clinical settings. It’s crucial to remember that AI serves as a diagnostic aid, with final decisions remaining the physician’s responsibility.


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電子版ISSN 印刷版ISSN 0009-9252 金原出版

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