Internal Medicine Year in Review 2023.

Journal: Internal medicine (Tokyo, Japan)
PMID: 39231657

Abstract

The year 2023 marked a significant change for Internal Medicine, as the number of submissions related to the novel coronavirus infection (COVID-19) declined significantly and interest shifted to other disease fields and research areas. Our journal published its first articles on artificial intelligence (AI) and machine learning (ML), and these articles have shown that AI may be useful for the early detection of potential cardiac diseases, while ML can be used to predict the risk of serious illness in patients hospitalized with COVID-19, providing new possibilities for diagnoses and treatment. In addition to touching on the above, the present article also highlights the status of submissions to the journal (including the number of submissions and acceptance rate) in 2023.

Authors

  • Naruaki Ogasawara
    Editorial Department, The Japanese Society of Internal Medicine (JSIM), Japan.
  • Kazuto Matsunaga
    Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Japan.
  • Hajime Isomoto
    Division of Medicine and Clinical Science, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Yonago, Japan.
  • Wataru Shimizu

Keywords

External Resources

Popular Topics
Recent Journals