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10.2169/internalmedicine.4396-24

http://scihub22266oqcxt.onion/10.2169/internalmedicine.4396-24
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39231657!11671193!39231657
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suck abstract from ncbi

pmid39231657      Intern+Med 2024 ; 63 (23): 3137-3140
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  • Internal Medicine Year in Review 2023 #MMPMID39231657
  • Ogasawara N; Matsunaga K; Isomoto H; Shimizu W
  • Intern Med 2024[Dec]; 63 (23): 3137-3140 PMID39231657show ga
  • 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.
  • |*Artificial Intelligence[MESH]
  • |*COVID-19/epidemiology[MESH]
  • |*Internal Medicine/trends[MESH]
  • |Humans[MESH]
  • |Machine Learning[MESH]
  • |Periodicals as Topic[MESH]


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