AIMC Topic: Diagnostic Imaging

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Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2024
OBJECTIVE: Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit bias in the form of subgroup performance disparities. However, since not all sources of bias in real-world medical imaging data are easily id...
Humans Neural Networks, Computer Bias Neuroimaging Artificial Intelligence Diagnostic Imaging
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Generating Synthetic Data for Medical Imaging.

Radiology Sep 1, 2024
Artificial intelligence (AI) models for medical imaging tasks, such as classification or segmentation, require large and diverse datasets of images. However, due to privacy and ethical issues, as well as data sharing infrastructure barriers, these da...
Artificial Intelligence Diagnostic Imaging Humans
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How Data Infrastructure Deals with Bias Problems in Medical Imaging.

Studies in health technology and informatics Aug 22, 2024
The paper discusses biases in medical imaging analysis, particularly focusing on the challenges posed by the development of machine learning algorithms and generative models. It introduces a taxonomy of bias problems and addresses them through a data...
Confidentiality Computer Security Bias Humans Algorithms Machine Learning Diagnostic Imaging
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Deep Learning-Based Synthetic Skin Lesion Image Classification.

Studies in health technology and informatics Aug 22, 2024
Advances in general-purpose computers have enabled the generation of high-quality synthetic medical images that human eyes cannot differ between real and AI-generated images. To analyse the efficacy of the generated medical images, this study propose...
Internet Skin Diseases Diagnostic Imaging Image Interpretation, Computer-Assisted Datasets as Topic Humans Neural Networks, Computer Deep Learning Deception
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The testing of AI in medicine is a mess. Here's how it should be done.

Nature Aug 1, 2024
Humans Artificial Intelligence Medicine Machine Learning Diagnostic Imaging
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Emerging AI Autonomy: Reducing the Burden of Unremarkable Examinations.

Radiology Aug 1, 2024
Humans Artificial Intelligence Diagnostic Imaging
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Leveraging Vision Transformers for Enhanced Accuracy in Pneumonia Detection from Medical Imaging Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Medical image analysis has witnessed a paradigm shift with the advent of artificial intelligence, particularly the application of Vision Transformers (ViTs). In this study, we leverage the unique attention mechanisms of ViTs to enhance the representa...
Image Processing, Computer-Assisted Artificial Intelligence Pneumonia Humans Diagnostic Imaging Algorithms
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Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Medical image segmentation, which is essential for many clinical applications, has achieved almost human-level performance via data-driven deep learning technologies. Nevertheless, its performance is predicated upon the costly process of manually ann...
Algorithms Deep Learning Humans Machine Learning Image Processing, Computer-Assisted Diagnostic Imaging
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Multi-Scale Self-Supervised Consistency Training for Trustworthy Medical Imaging Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Modern neural network models have demonstrated exceptional classification capabilities comparable to human performance in various medical diagnosis tasks. However, their practical application in real-world medical scenarios is hindered by an issue kn...
Diagnostic Imaging Calibration Humans Reproducibility of Results Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Dual Prototypical Self-Supervised Learning for One-shot Medical Image Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Medical image segmentation using deep learning typically requires a large quantity of well-annotated data. However, the acquisition of pixel-level annotations is arduous and expensive, often requiring the expertise of experienced medical professional...
Humans Algorithms Diagnostic Imaging Supervised Machine Learning Deep Learning Image Processing, Computer-Assisted
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