Internal Medicine Year in Review 2023.
Artificial Intelligence
COVID-19
Internal Medicine
Machine Learning
Scholarly Information
Year in Review
Journal
Internal medicine (Tokyo, Japan)
ISSN: 1349-7235
Titre abrégé: Intern Med
Pays: Japan
ID NLM: 9204241
Informations de publication
Date de publication:
04 Sep 2024
04 Sep 2024
Historique:
medline:
5
9
2024
pubmed:
5
9
2024
entrez:
4
9
2024
Statut:
aheadofprint
Résumé
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.
Identifiants
pubmed: 39231657
doi: 10.2169/internalmedicine.4396-24
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM