{"title":"内科学 2023 年回顾》。","authors":"Naruaki Ogasawara, Kazuto Matsunaga, Hajime Isomoto, Wataru Shimizu","doi":"10.2169/internalmedicine.4396-24","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":13719,"journal":{"name":"Internal Medicine","volume":" ","pages":"3137-3140"},"PeriodicalIF":1.0000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Internal Medicine Year in Review 2023.\",\"authors\":\"Naruaki Ogasawara, Kazuto Matsunaga, Hajime Isomoto, Wataru Shimizu\",\"doi\":\"10.2169/internalmedicine.4396-24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":13719,\"journal\":{\"name\":\"Internal Medicine\",\"volume\":\" \",\"pages\":\"3137-3140\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Internal Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2169/internalmedicine.4396-24\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/4 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internal Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2169/internalmedicine.4396-24","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/4 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
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.
期刊介绍:
Internal Medicine is an open-access online only journal published monthly by the Japanese Society of Internal Medicine.
Articles must be prepared in accordance with "The Uniform Requirements for Manuscripts Submitted to Biomedical Journals (see Annals of Internal Medicine 108: 258-265, 1988), must be contributed solely to the Internal Medicine, and become the property of the Japanese Society of Internal Medicine. Statements contained therein are the responsibility of the author(s). The Society reserves copyright and renewal on all published material and such material may not be reproduced in any form without the written permission of the Society.