AIMC Topic: Diagnostic Imaging

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Artificial intelligence in musculoskeletal oncological radiology.

Radiology and oncology Nov 10, 2020
BACKGROUND: Due to the rarity of primary bone tumors, precise radiologic diagnosis often requires an experienced musculoskeletal radiologist. In order to make the diagnosis more precise and to prevent the overlooking of potentially dangerous conditio...
Diagnostic Imaging Medical Oncology Image Interpretation, Computer-Assisted Musculoskeletal Diseases Humans Artificial Intelligence
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Deep decision support for lymph node metastatic risk evaluation.

EBioMedicine Nov 5, 2020
Area Under Curve Diagnostic Imaging Lymph Nodes Lymphatic Metastasis Decision Support Techniques Risk Assessment Neoplasms Deep Learning Humans
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Canadian Association of Radiologists White Paper on De-identification of Medical Imaging: Part 2, Practical Considerations.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Nov 3, 2020
The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboratio...
Machine Learning Algorithms Canada Humans Artificial Intelligence Data Anonymization Societies, Medical Diagnostic Imaging Radiologists
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Canadian Association of Radiologists White Paper on De-Identification of Medical Imaging: Part 1, General Principles.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Nov 3, 2020
The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboratio...
Data Anonymization Societies, Medical Diagnostic Imaging Radiologists Humans Artificial Intelligence Algorithms Canada Machine Learning
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LV-GAN: A deep learning approach for limited-view optoacoustic imaging based on hybrid datasets.

Journal of biophotonics Nov 3, 2020
The optoacoustic imaging (OAI) methods are rapidly evolving for resolving optical contrast in medical imaging applications. In practice, measurement strategies are commonly implemented under limited-view conditions due to oversized image objectives o...
Image Processing, Computer-Assisted Diagnostic Imaging Computer Simulation Artifacts Deep Learning
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Radiomics in PET/CT: Current Status and Future AI-Based Evolutions.

Seminars in nuclear medicine Nov 1, 2020
This short review aims at providing the readers with an update on the current status, as well as future perspectives in the quickly evolving field of radiomics applied to the field of PET/CT imaging. Numerous pitfalls have been identified in study de...
Workflow Diagnostic Imaging Positron Emission Tomography Computed Tomography Artificial Intelligence Reproducibility of Results Humans
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Deep learning in medical image registration: a review.

Physics in medicine and biology Oct 22, 2020
This paper presents a review of deep learning (DL)-based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods in the medical field. These methods were classified into seven catego...
Image Processing, Computer-Assisted Diagnostic Imaging Brain Humans Deep Learning
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Regulatory Frameworks for Development and Evaluation of Artificial Intelligence-Based Diagnostic Imaging Algorithms: Summary and Recommendations.

Journal of the American College of Radiology : JACR Oct 20, 2020
Although artificial intelligence (AI)-based algorithms for diagnosis hold promise for improving care, their safety and effectiveness must be ensured to facilitate wide adoption. Several recently proposed regulatory frameworks provide a solid foundati...
Artificial Intelligence Software Algorithms Reproducibility of Results Diagnostic Imaging
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Findings from machine learning in clinical medical imaging applications - Lessons for translation to the forensic setting.

Forensic science international Oct 18, 2020
Machine learning (ML) techniques are increasingly being used in clinical medical imaging to automate distinct processing tasks. In post-mortem forensic radiology, the use of these algorithms presents significant challenges due to variability in organ...
Forensic Medicine Bone and Bones Support Vector Machine Diagnostic Imaging Humans Algorithms Neural Networks, Computer Brain Machine Learning Lung
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How to Design AI-Driven Clinical Trials in Nuclear Medicine.

Seminars in nuclear medicine Oct 17, 2020
Artificial intelligence (AI) is an overarching term for a multitude of technologies which are currently being discussed and introduced in several areas of medicine and in medical imaging specifically. There is, however, limited literature and informa...
Nuclear Medicine Diagnostic Imaging Radionuclide Imaging Humans Artificial Intelligence
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