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Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

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

Leticia Rittner¹, Christian Baumgartner², Thomas M Deserno³

¹Medical Imaging Computing Lab (MICLab), School of Electrical and Computer Engineering, University of Campinas, Brazil.

Yearbook of Medical Informatics

|April 8, 2025

Summary

This summary is machine-generated.

Researchers identified the top four papers from 2023 in sensors, signals, and imaging informatics (SSII). The findings highlight advances in deep learning for image analysis, signaling a shift towards biosignal and image processing over sensor development.

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Area of Science:

Medical Informatics
Biomedical Engineering
Digital Health

Background:

The field of sensors, signals, and imaging informatics (SSII) is rapidly evolving.
Identifying key research advancements is crucial for understanding current trends and future directions.

Purpose of the Study:

To identify and highlight the most significant research papers published in 2023 within the SSII domain.
To pinpoint emerging trends and cutting-edge contributions in sensors, signals, and imaging informatics.

Main Methods:

A comprehensive bibliographic search was conducted on Scopus and PubMed using relevant Medical Subject Heading (MeSH) terms and keywords.
Papers were initially screened based on title and abstract evaluation using a 3-point Likert scale, with a minimum score of 8 required for full-text review.
The top 14 papers underwent rigorous evaluation by external reviewers and editors of the International Medical Informatics Association (IMIA) Yearbook, leading to the selection of the four best contributions.

Main Results:

Out of 643 initially identified papers, 58 met the inclusion criteria.
A final selection of four outstanding papers was approved by the IMIA Yearbook Editorial Board.
The selected papers cover sensorless freehand 3D ultrasound reconstruction, video-based pulse rate estimation, and deep learning-based image processing and analysis.

Conclusions:

The study highlights the dynamic nature of sensors, signals, and imaging informatics research.
The top papers demonstrate advanced deep learning applications in image processing and analysis.
There is a discernible shift in research focus from sensor technology development towards biosignal and image analysis.