• Yasuyuki Kobayashi, Maki Ishibashi, and Hitomi Kobayashi.
• Department of Medical Information and Communication Technology Research, Graduate School of Medicine, St. Marianna University School of Medicine, 2-16-1, Sugao, Miyamae-ku, Kawasaki, Kanagawa, 216-8511, Japan. yasukoba2@gmail.com.
• Jpn J Radiol. 2019 Jan 1; 37 (1): 9-14.

AbstractThe "democratization of AI" is progressing, and it is becoming an era when anyone can utilize AI. What kind of radiologists are new generation radiologists suitable for the AI era? The first is maintaining a broad perspective regarding healthcare in its entirety. Next, it is necessary to study the basic knowledge and latest information concerning AI and possess the latest knowledge concerning modalities such as CT/MRI and imaging information systems. Finally, it is important for radiologists to not forget the viewpoint of patient-centered healthcare. It is an urgent task to nurture human resources by realizing such a healthcare AI education program to educate radiologists at an early stage. If we can evolve to become radiologists suitable for the AI era, AI will likely be our ally more than ever and healthcare will progress dramatically. As we approach the "democratization of AI," it is becoming an era in which all radiologists must learn AI as they learn statistics.

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