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内科学年度回顾 2023.

Internal Medicine Year in Review 2023.

机构信息

Editorial Department, The Japanese Society of Internal Medicine (JSIM), Japan.

Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Japan.

出版信息

Intern Med. 2024 Dec 1;63(23):3137-3140. doi: 10.2169/internalmedicine.4396-24. Epub 2024 Sep 4.

DOI:10.2169/internalmedicine.4396-24
PMID:39231657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11671193/
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.

摘要

2023 年,内科领域发生了重大变化,与新型冠状病毒感染(COVID-19)相关的投稿数量显著下降,人们的兴趣转向了其他疾病领域和研究领域。本刊发表了第一批关于人工智能(AI)和机器学习(ML)的文章,这些文章表明 AI 可能有助于早期发现潜在的心脏疾病,而 ML 可用于预测 COVID-19 住院患者发生重病的风险,为诊断和治疗提供了新的可能性。除了上述内容外,本文还重点介绍了 2023 年本刊投稿的情况(包括投稿数量和接受率)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a383/11671193/a41e3477bbd0/1349-7235-63-3137-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a383/11671193/525bb4abd598/1349-7235-63-3137-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a383/11671193/f1f51ee8351c/1349-7235-63-3137-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a383/11671193/a41e3477bbd0/1349-7235-63-3137-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a383/11671193/525bb4abd598/1349-7235-63-3137-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a383/11671193/f1f51ee8351c/1349-7235-63-3137-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a383/11671193/a41e3477bbd0/1349-7235-63-3137-g003.jpg

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本文引用的文献

1
Lessons Learnt from Case Series of Out-of-hospital Cardiac Arrest and Unexpected Death after COVID-19 Vaccination.从 COVID-19 疫苗接种后院外心脏骤停和意外死亡的病例系列中吸取的教训。
Intern Med. 2023 Nov 15;62(22):3267-3275. doi: 10.2169/internalmedicine.2298-23. Epub 2023 Aug 23.
2
Mortality Prediction of COVID-19 in Hospitalized Patients Using the 2020 Diagnosis Procedure Combination Administrative Database of Japan.利用日本 2020 年诊断程序组合行政数据库预测 COVID-19 住院患者的死亡率。
Intern Med. 2023 Jan 15;62(2):201-213. doi: 10.2169/internalmedicine.0086-22. Epub 2022 Nov 2.