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Related Experiment Video

Updated: Feb 6, 2026

Glutamine Flux Imaging Using Genetically Encoded Sensors

Glutamine Flux Imaging Using Genetically Encoded Sensors

Published on: July 31, 2014

Sensor, Signal, and Imaging Informatics in 2017.

William Hsu¹, Thomas M Deserno², Charles E Kahn³

¹University of California, Los Angeles, California, USA.

Yearbook of Medical Informatics

|August 30, 2018

Summary

This review highlights key 2017 advances in medical informatics, focusing on sensor, signal, and imaging data analysis. Machine learning is driving new research opportunities in this field.

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Area of Science:

Medical Informatics
Sensor, Signal, and Imaging Informatics

Background:

The field of medical informatics is rapidly evolving.
Sensor, signal, and imaging data are increasingly important in healthcare.

Purpose of the Study:

To summarize significant contributions to sensor, signal, and imaging informatics literature published in 2017.
To identify and highlight cutting-edge research in the field.

Main Methods:

Searched PubMed and Web of Science for 2017 publications on sensors, signals, and imaging in medical informatics.
Selected 15 candidate papers by consensus.
Reviewed candidate articles and finalized the top four papers by the IMIA Yearbook editorial board.

Main Results:

The selected papers showcase significant scientific advances in the management and analysis of sensor, signal, and imaging information.
Key contributions demonstrate progress in leveraging these data types within medical informatics.

Conclusions:

The increasing volume of signal and imaging data, coupled with advancements in machine learning, presents new research avenues.
This work underscores the dynamic nature and future potential of Sensor, Signal, and Imaging Informatics.