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Skip search results from other journals and go to results- 4 JMIR Medical Informatics
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The extraction of labels from unstructured radiology reports is the task of radiology report labeling and it provides us structured information which can be used for many downstream tasks such as medical report generation and natural language explanation generation. It also enables training of large-scale medical imaging models [1].
JMIR Med Inform 2025;13:e68618
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Crowdsourced approaches to data set labeling are growing in popularity, and beneficial effects of crowdsourcing have been demonstrated in health care–related tasks including biomedical imaging analysis [10-14].
Using crowdsourcing for biomedical image labeling is challenged by the complexity of the tasks and the need to ensure label quality control. The user interface design for collecting crowd opinions and the metrics used for assessing opinion quality is key to successful results.
J Med Internet Res 2024;26:e51397
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Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study
This set was manually labeled by a single data scientist, using a labeling guideline (Multimedia Appendix 1) that was developed as part of the test set generation. The development set contained 100 positive notes (prevalence=0.17).
We then derived a labeler model that used weak supervision to probabilistically assign labels for the training set. Specifically, as shown in Figure 1, we used data programming [15], where labeling heuristics are expressed as code-based labeling functions.
JMIR Med Inform 2024;12:e51171
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Labeling of ultraprocessed products has been a common strategy that governments worldwide use to improve people’s diets [4].
In Mexico, it has been estimated that more than 30% of the total energy consumed comes from ultraprocessed foods, favoring the prevalence of overweight and obesity.
JMIR Res Protoc 2024;13:e54783
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Reference 13: Crowdsourcing of histological image labeling and object delineation by medical studentslabeling
JMIR Dermatol 2023;6:e48589
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It is essential that some level of quality assurance take place for crowdsourced annotations in the absence of expert labeling for comparison, as would be the case in future studies. Although agreement is traditionally considered an indicator of data reliability, it has been suggested that participants’ competence and confidence should be taken into account [55].
JMIR Med Inform 2023;11:e38412
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However, the process of labeling the images for the training of a CNN in a supervised algorithm is hard work and requires extensive time and effort by a health professional.
In current CNN training models, the labeling of the data set samples is a critical and important phase. In pretrained classification networks, images have been labeled using polygonal contour tools that help detect objects, parts of a body, animals, and so on [12]. For tissue classification, more detailed labeling is required.
JMIR Med Inform 2022;10(8):e37284
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Availability, Formulation, Labeling, and Price of Low-sodium Salt Worldwide: Environmental Scan
However, little is known about the availability and accessibility of this emerging product in the global market or about factors that may affect equitable uptake including formulation, price, or labeling. We, therefore, performed a systematic search of low-sodium salts to understand better their availability, formulation, labeling, and the price in different countries.
This study was a systematic search of low-sodium salts conducted from October 2019 to September 2020.
JMIR Public Health Surveill 2021;7(7):e27423
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