Artificial intelligence with kidney disease: A scoping review with bibliometric analysis, PRISMA-ScR.

Journal: Medicine
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) has had a significant impact on our lives and plays many roles in various fields. By analyzing the past 30 years of AI trends in the field of nephrology, using a bibliography, we wanted to know the areas of interest and future direction of AI in research related to the kidney.

Authors

  • Sihyung Park
    Department of Internal Medicine.
  • Bong Soo Park
    Department of Oral Anatomy, School of Dentistry, Pusan National University, Yangsan, Korea.
  • Yoo Jin Lee
    Department of Internal Medicine.
  • Il Hwan Kim
    Department of Oncology, Haeundae Paik Hospital, Inje University, Busan, Republic of Korea.
  • Jin Han Park
    Department of Internal Medicine.
  • Junghae Ko
    Department of Internal Medicine.
  • Yang Wook Kim
    Department of Internal Medicine.
  • Kang Min Park
    Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea. Electronic address: smilepkm@hanmail.net.