AIMC Topic: Diagnostic Imaging

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AI-powered innovations in pancreatitis imaging: a comprehensive literature synthesis.

Abdominal radiology (New York) Aug 12, 2024
Early identification of pancreatitis remains a significant clinical diagnostic challenge that impacts patient outcomes. The evolution of quantitative imaging followed by deep learning models has shown great promise in the non-invasive diagnosis of pa...
Early Diagnosis Pancreatitis Humans Artificial Intelligence Diagnostic Imaging Image Interpretation, Computer-Assisted
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UC-Hybrid: Uncertainty-based contrastive learning on hybrid network for medical image segmentation.

Computer methods and programs in biomedicine Aug 8, 2024
Medical image segmentation has made remarkable progress with advances in deep learning technology, depending on the quality and quantity of labeled data. Although various deep learning model structures and training methods have been proposed and high...
Machine Learning Algorithms Humans Neural Networks, Computer Diagnostic Imaging Deep Learning Uncertainty Image Processing, Computer-Assisted
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A QR code-enabled framework for fast biomedical image processing in medical diagnosis using deep learning.

BMC medical imaging Aug 1, 2024
In the realm of disease prognosis and diagnosis, a plethora of medical images are utilized. These images are typically stored either within the local on-premises servers of healthcare providers or within cloud storage infrastructures. However, this c...
Humans Databases, Factual Diagnostic Imaging Information Storage and Retrieval Deep Learning Image Processing, Computer-Assisted
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Evaluating artificial intelligence for medical imaging: a primer for clinicians.

British journal of hospital medicine (London, England : 2005) Jul 30, 2024
Artificial intelligence has the potential to transform medical imaging. The effective integration of artificial intelligence into clinical practice requires a robust understanding of its capabilities and limitations. This paper begins with an overvie...
Machine Learning Diagnostic Imaging Humans Artificial Intelligence
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Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters.

Science bulletin Jul 23, 2024
In medical image segmentation, it is often necessary to collect opinions from multiple experts to make the final decision. This clinical routine helps to mitigate individual bias. However, when data is annotated by multiple experts, standard deep lea...
Image Processing, Computer-Assisted Algorithms Humans Observer Variation Diagnostic Imaging Neural Networks, Computer Deep Learning Calibration
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Advancing Medical Imaging Research Through Standardization: The Path to Rapid Development, Rigorous Validation, and Robust Reproducibility.

Investigative radiology Jul 11, 2024
Artificial intelligence (AI) has made significant advances in radiology. Nonetheless, challenges in AI development, validation, and reproducibility persist, primarily due to the lack of high-quality, large-scale, standardized data across the world. A...
Artificial Intelligence Reproducibility of Results Biomedical Research Diagnostic Imaging Humans Radiology Information Systems
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Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification-Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline.

Journal of imaging informatics in medicine Jul 9, 2024
De-identification of medical images intended for research is a core requirement for data sharing initiatives, particularly as the demand for data for artificial intelligence (AI) applications grows. The Center for Biomedical Informatics and Informati...
United States Artificial Intelligence Diagnostic Imaging Data Anonymization Neoplasms Humans National Cancer Institute (U.S.)
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From vision to text: A comprehensive review of natural image captioning in medical diagnosis and radiology report generation.

Medical image analysis Jul 8, 2024
Natural Image Captioning (NIC) is an interdisciplinary research area that lies within the intersection of Computer Vision (CV) and Natural Language Processing (NLP). Several works have been presented on the subject, ranging from the early template-ba...
Image Processing, Computer-Assisted Natural Language Processing Humans Deep Learning Radiology Information Systems Diagnostic Imaging Image Interpretation, Computer-Assisted
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From Diagnosis to Precision Surgery: The Transformative Role of Artificial Intelligence in Urologic Imaging.

Journal of endourology Jul 8, 2024
The multidisciplinary nature of artificial intelligence (AI) has allowed for rapid growth of its application in medical imaging. Artificial intelligence algorithms can augment various imaging modalities, such as X-rays, CT, and MRI, to improve image ...
Urology Urologic Surgical Procedures Diagnostic Imaging Robotic Surgical Procedures Humans Artificial Intelligence Precision Medicine
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Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects.

Diagnostic and interventional radiology (Ankara, Turkey) Jul 2, 2024
Although artificial intelligence (AI) methods hold promise for medical imaging-based prediction tasks, their integration into medical practice may present a double-edged sword due to bias (i.e., systematic errors). AI algorithms have the potential to...
Bias Algorithms Diagnostic Imaging Humans Artificial Intelligence
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