The rapid advancement of Artificial Intelligence (AI) has significantly impacted various fields, and radiology diagnostics is one such area where AI's influence is becoming increasingly apparent. This paper focuses on the role of AI in radiology diagnostics in East Asia, specifically examining its implementation, benefits, and challenges. The integration of AI technologies, such as deep learning and machine learning, has improved the accuracy and efficiency of radiological diagnoses, reducing the time required for diagnosis and minimizing the potential for human error. East Asian countries have shown particular interest in adopting AI-driven radiology solutions, reflecting their commitment to healthcare innovation and technological advancement. However, the widespread adoption of AI in radiology diagnostics in East Asia faces several challenges, including the need for high-quality data, skilled professionals, and regulatory frameworks. This paper discusses the current state of AI in radiology diagnostics in East Asia, highlighting the opportunities and challenges for the future development of this technology.
Harris, M. Role of Artificial Intelligence in Radiology Diagnostics in East Asia. Asia-Pacific Medical Journal, 2023, 5, 38. https://doi.org/10.69610/j.amj.20230422
AMA Style
Harris M. Role of Artificial Intelligence in Radiology Diagnostics in East Asia. Asia-Pacific Medical Journal; 2023, 5(1):38. https://doi.org/10.69610/j.amj.20230422
Chicago/Turabian Style
Harris, Michael 2023. "Role of Artificial Intelligence in Radiology Diagnostics in East Asia" Asia-Pacific Medical Journal 5, no.1:38. https://doi.org/10.69610/j.amj.20230422
APA style
Harris, M. (2023). Role of Artificial Intelligence in Radiology Diagnostics in East Asia. Asia-Pacific Medical Journal, 5(1), 38. https://doi.org/10.69610/j.amj.20230422
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