AIMC Topic: Data Curation

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Facilitating the use of routine data to evaluate artificial intelligence solutions: lessons from the NIHR/RCR data curation workshop.

Clinical radiology Aug 28, 2024
Radiology currently stands at the forefront of artificial intelligence (AI) development and deployment over many other medical subspecialities within the scope of both research and clinical practice. Given this current leadership position, it is impe...
Humans Information Dissemination United Kingdom Data Curation Artificial Intelligence Radiology
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Pseudo-class part prototype networks for interpretable breast cancer classification.

Scientific reports May 6, 2024
Interpretability in machine learning has become increasingly important as machine learning is being used in more and more applications, including those with high-stakes consequences such as healthcare where Interpretability has been regarded as a key...
Pathology, Clinical Datasets as Topic Data Curation Sensitivity and Specificity Breast Neoplasms Deep Learning Cluster Analysis Humans Neural Networks, Computer Female Reproducibility of Results
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Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology.

BMC medical imaging Apr 8, 2024
The research focuses on the segmentation and classification of leukocytes, a crucial task in medical image analysis for diagnosing various diseases. The leukocyte dataset comprises four classes of images such as monocytes, lymphocytes, eosinophils, a...
Data Curation Leukocytes Blood Cells Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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On-the-fly point annotation for fast medical video labeling.

International journal of computer assisted radiology and surgery Apr 4, 2024
PURPOSE: In medical research, deep learning models rely on high-quality annotated data, a process often laborious and time-consuming. This is particularly true for detection tasks where bounding box annotations are required. The need to adjust two co...
Data Curation Humans Deep Learning Video Recording
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A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.

Journal of imaging informatics in medicine Apr 1, 2024
In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications approved by the FDA being in imaging and radiology in 2023. The surge in AI model development to tack...
Artificial Intelligence Machine Learning Humans Medical Informatics Data Curation Societies, Medical Surveys and Questionnaires Diagnostic Imaging
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Visualizing Clinical Data Retrieval and Curation in Multimodal Healthcare AI Research: A Technical Note on RIL-workflow.

Journal of imaging informatics in medicine Feb 16, 2024
Curating and integrating data from sources are bottlenecks to procuring robust training datasets for artificial intelligence (AI) models in healthcare. While numerous applications can process discrete types of clinical data, it is still time-consumin...
User-Computer Interface Workflow Information Storage and Retrieval Data Curation Humans Artificial Intelligence
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Image annotation and curation in radiology: an overview for machine learning practitioners.

European radiology experimental Feb 6, 2024
"Garbage in, garbage out" summarises well the importance of high-quality data in machine learning and artificial intelligence. All data used to train and validate models should indeed be consistent, standardised, traceable, correctly annotated, and d...
United States Data Curation Machine Learning Radiology Humans Algorithms Artificial Intelligence
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A Chinese telemedicine-dialogue dataset annotated for named entities.

BMC medical informatics and decision making Nov 16, 2023
BACKGROUND: A large collection of dialogues between patients and doctors must be annotated for medical named entities to build intelligence for telemedicine. However, since most patients involved in telemedicine deliver related named entities in info...
Telemedicine Data Curation Language Humans East Asian People Artificial Intelligence
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Implementation of transfer learning for the segmentation of human mesenchymal stem cells-A validation study.

Tissue & cell Jun 29, 2023
INTRODUCTION: Stem cell therapy has been gaining interest in the regeneration rather than repair of lost human tissues. However, the manual analysis of stem cells prior to implantation is a cumbersome task that can be automated to improve the efficie...
Data Curation Mesenchymal Stem Cells Algorithms Mesenchymal Stem Cell Transplantation Cell Tracking Datasets as Topic Deep Learning
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Leveraging human expert image annotations to improve pneumonia differentiation through human knowledge distillation.

Scientific reports Jun 6, 2023
In medical imaging, deep learning models can be a critical tool to shorten time-to-diagnosis and support specialized medical staff in clinical decision making. The successful training of deep learning models usually requires large amounts of quality ...
Diagnostic Imaging Data Curation Humans Deep Learning Pneumonia
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