AIMC Topic: Diagnostic Imaging
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AI MSK clinical applications: spine imaging.
Skeletal radiology
Jul 15, 2021
Recent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain ...
The overview of the deep learning integrated into the medical imaging of liver: a review.
Hepatology international
Jul 15, 2021
Deep learning (DL) is a recently developed artificial intelligent method that can be integrated into numerous fields. For the imaging diagnosis of liver disease, several remarkable outcomes have been achieved with the application of DL currently. Thi...
A deep look into radiomics.
La Radiologia medica
Jul 2, 2021
Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into ...
Humans
Workflow
Data Mining
Genomics
Diagnostic Imaging
Neuroimaging
Radiology Information Systems
Database Management Systems
Image Interpretation, Computer-Assisted
Precision Medicine
Neural Networks, Computer
Deep Learning
Data Analysis
Medical Oncology
Machine Learning
Neoplasms
Consensus
Algorithms
Prognosis
Optical mesoscopy, machine learning, and computational microscopy enable high information content diagnostic imaging of blood films.
The Journal of pathology
Jun 29, 2021
Automated image-based assessment of blood films has tremendous potential to support clinical haematology within overstretched healthcare systems. To achieve this, efficient and reliable digital capture of the rich diagnostic information contained wit...
Artificial intelligence in tumor subregion analysis based on medical imaging: A review.
Journal of applied clinical medical physics
Jun 24, 2021
Medical imaging is widely used in the diagnosis and treatment of cancer, and artificial intelligence (AI) has achieved tremendous success in medical image analysis. This paper reviews AI-based tumor subregion analysis in medical imaging. We summarize...
Artificial intelligence in medical imaging: implications for patient radiation safety.
The British journal of radiology
Jun 23, 2021
Artificial intelligence, including deep learning, is currently revolutionising the field of medical imaging, with far reaching implications for almost every facet of diagnostic imaging, including patient radiation safety. This paper introduces basic ...
Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry-A Systematic Review.
BioMed research international
Jun 22, 2021
OBJECTIVE: The objective of this systematic review was to investigate the quality and outcome of studies into artificial intelligence techniques, analysis, and effect in dentistry.
A Call for Controlled Validation Data Sets: Promoting the Safe Introduction of Artificial Intelligence in Breast Imaging.
Journal of the American College of Radiology : JACR
Jun 18, 2021
Potential and limitations of radiomics in neuro-oncology.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jun 11, 2021
Radiomics seeks to apply classical methods of image processing to obtain quantitative parameters from imaging. Derived features are subsequently fed into algorithmic models to aid clinical decision making. The application of radiomics and machine lea...
Image-based cell phenotyping with deep learning.
Current opinion in chemical biology
May 21, 2021
A cell's phenotype is the culmination of several cellular processes through a complex network of molecular interactions that ultimately result in a unique morphological signature. Visual cell phenotyping is the characterization and quantification of ...
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