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

Yearbook of medical informatics Pub Date : 2024-08-01 Epub Date: 2025-04-08 DOI:10.1055/s-0044-1800757
Leticia Rittner, Christian Baumgartner, Thomas M Deserno
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引用次数: 0

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.

传感器、信号和成像信息学:2023年的最佳贡献。
目的确定并突出 2023 年代表传感器、信号和成像信息学领域进展和趋势的研究论文:我们在 Scopus 和 PubMed 数据库中使用医学子主题词(MeSH)结合关键词进行了文献检索。我们的目的是建立传感器、信号和成像信息学的特定查询。我们剔除了查询结果少于三篇论文的期刊,然后使用 3 点李克特量表对论文的标题和摘要进行评估,量表范围从 1(不收录)到 3(应收录)。只有总分达到或超过 8 分的论文才会再次接受评估,这次评估将考虑论文全文,得分最高的 14 篇论文将由外部评审员和《国际医学信息学协会年鉴》(IMIA)编辑进行评审:在 2023 年发表的 643 篇传感器、信号和成像信息学(SSII)各领域的论文中,我们选出了 58 篇 Likert 分(总分)至少达到 8 分的论文。经过综合评估,我们确定了 14 篇论文为最佳贡献,并将其发送给 8 位外部评审员。经过全面评审,我们选出了四篇最佳论文,并由 IMIA 年鉴编辑委员会一致通过。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自由三维超声重构(代表传感器),另一篇是关于基于视频的脉率估计(代表信号):传感器、信号和成像信息学是一个充满活力的深入研究领域。2023 年的四篇最佳论文代表了以基于 DL 的图像处理和分析为重点的先进方法,表明研究领域正在从传感器技术开发转向生物信号和图像分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Yearbook of medical informatics
Yearbook of medical informatics Medicine-Medicine (all)
CiteScore
4.10
自引率
0.00%
发文量
20
期刊介绍: Published by the International Medical Informatics Association, this annual publication includes the best papers in medical informatics from around the world.
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