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传感器、信号与成像信息学:2023年最佳贡献

Sensors, Signals, and Imaging Informatics: Best contributions from 2023.

作者信息

Rittner Leticia, Baumgartner Christian, Deserno Thomas M

机构信息

Medical Imaging Computing Lab (MICLab), School of Electrical and Computer Engineering, University of Campinas, Brazil.

Institute of Health Care Engineering with European Testing Center of Medical Devices, Graz University of Technology, Austria.

出版信息

Yearb Med Inform. 2024 Aug;33(1):277-279. doi: 10.1055/s-0044-1800757. Epub 2025 Apr 8.

Abstract

OBJECTIVES

To identify and highlight research papers that represent the advances and trends in the field of sensors, signals, and imaging informatics in 2023.

METHOD

We performed a bibliographic search on Scopus and PubMed databases using Medical Sub-ject Heading (MeSH) terms combined with keywords. Our aim was to build specific queries for sen-sors, signals, and imaging informatics. We disregarded journals that returned less than three papers on the query and then evaluated titles and abstracts of the papers using a 3-point Likert scale, ranging from 1 (do not include) to 3 (should be included). Only the papers with a total score of 8 or more were re-evaluated again, this time considering the full text, and the top 14 papers with the highest scores were then reviewed by external reviewers and editors of the International Medical Informatics Association (IMIA) Yearbook.

RESULTS

Among the 643 returned papers published in 2023 in the various areas of sensors, signals, and imaging informatics (SSII), we selected 58 papers with at least 8 Likert points (in total). After a comprehensive evaluation, we identified 14 papers as the best contributions and sent them to eight external reviewers. The full review process resulted in a selection of the four best papers, which were then approved by consensus by the IMIA Yearbook Editorial Board. Although the imaging informatics sub-search returned all of these four papers, one is about sensorless freehand 3D ultrasound recon-struction (representing sensors), and another deals with video-based pulse rate estimation (representing signals).

CONCLUSIONS

Sensors, signals, and imaging informatics is a dynamic field of intensive research. The four best papers in 2023 represent advanced approaches focusing on DL-based image processing, analysis, and indicate a shift in the research field from sensor technology development to biosignal and image analysis.

摘要

目标

识别并重点介绍代表2023年传感器、信号和成像信息学领域进展与趋势的研究论文。

方法

我们使用医学主题词(MeSH)术语结合关键词在Scopus和PubMed数据库中进行文献检索。我们的目标是构建针对传感器、信号和成像信息学的特定查询。我们忽略了那些查询结果少于三篇论文的期刊,然后使用从1(不包括)到3(应包括)的3级李克特量表对论文的标题和摘要进行评估。只有总分达到8分或以上的论文才会再次进行重新评估,这次考虑全文,然后由国际医学信息学协会(IMIA)年鉴的外部审稿人和编辑对得分最高的前14篇论文进行评审。

结果

在2023年发表在传感器、信号和成像信息学(SSII)各个领域的643篇返回论文中,我们总共选择了58篇李克特得分至少为8分的论文。经过全面评估,我们确定了14篇作为最佳贡献的论文并将其发送给八位外部审稿人。完整的评审过程最终选出了四篇最佳论文,然后由IMIA年鉴编辑委员会协商一致批准。尽管成像信息学子搜索返回了所有这四篇论文,但其中一篇是关于无传感器徒手3D超声重建(代表传感器),另一篇涉及基于视频的脉搏率估计(代表信号)。

结论

传感器、信号和成像信息学是一个研究密集的动态领域。2023年的四篇最佳论文代表了专注于基于深度学习的图像处理、分析的先进方法,并表明研究领域从传感器技术开发向生物信号和图像分析的转变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81f9/12020550/f3f8ae2f555d/10-1055-s-0044-1800757-irittner-1.jpg

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