AIMC Topic: Diagnostic Imaging

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Towards machine learning aided real-time range imaging in proton therapy.

Scientific reports Feb 17, 2022
Compton imaging represents a promising technique for range verification in proton therapy treatments. In this work, we report on the advantageous aspects of the i-TED detector for proton-range monitoring, based on the results of the first Monte Carlo...
Image Processing, Computer-Assisted Diagnostic Imaging Phantoms, Imaging Proton Therapy Machine Learning
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Is AI the Ultimate QA?

Journal of digital imaging Feb 15, 2022
We are among the many that believe that artificial intelligence will not replace practitioners and is most valuable as an adjunct in diagnostic radiology. We suggest a different approach to utilizing the technology, which may help even radiologists w...
Humans Artificial Intelligence Radiology Radiologists Radiography Diagnostic Imaging
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Brain Tumor Imaging: Applications of Artificial Intelligence.

Seminars in ultrasound, CT, and MR Feb 11, 2022
Artificial intelligence has become a popular field of research with goals of integrating it into the clinical decision-making process. A growing number of predictive models are being employed utilizing machine learning that includes quantitative, com...
Image Processing, Computer-Assisted Artificial Intelligence Diagnostic Imaging Brain Neoplasms Humans
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Integrating the OHIF Viewer into XNAT: Achievements, Challenges and Prospects for Quantitative Imaging Studies.

Tomography (Ann Arbor, Mich.) Feb 11, 2022
: XNAT is an informatics software platform to support imaging research, particularly in the context of large, multicentre studies of the type that are essential to validate quantitative imaging biomarkers. XNAT provides import, archiving, processing ...
Archives Software Diagnostic Imaging Humans Artificial Intelligence
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[Forecasts from the retort. A Greek gift of artificial intelligence : Interdisciplinary data analysis in preoperative imaging diagnostics].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen Feb 7, 2022
The growing influence of artificial intelligence on radiology not only leads to a fundamental change in the way diagnoses are made but also creates a wealth of additional information. Many programs correlate the parameters of image evaluation with th...
Humans Artificial Intelligence Diagnostic Imaging Greece Machine Learning Data Analysis
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Clinical language search algorithm from free-text: facilitating appropriate imaging.

BMC medical imaging Feb 4, 2022
BACKGROUND: The comprehensiveness and maintenance of the American College of Radiology (ACR) Appropriateness Criteria (AC) makes it a unique resource for evidence-based clinical imaging decision support, but it is underutilized by clinicians. To faci...
Middle Aged Adolescent Adult Male Radiology Semantics Search Engine Natural Language Processing Diagnostic Imaging Humans Female Aged Young Adult
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Towards a Contactless Stress Classification Using Thermal Imaging.

Sensors (Basel, Switzerland) Jan 27, 2022
Thermal cameras capture the infrared radiation emitted from a body in a contactless manner and can provide an indirect estimation of the autonomic nervous system (ANS) dynamics through the regulation of the skin temperature. This study investigates t...
Respiratory Rate Autonomic Nervous System Support Vector Machine Diagnostic Imaging Humans Algorithms
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ACME: Automatic feature extraction for cell migration examination through intravital microscopy imaging.

Medical image analysis Jan 14, 2022
Cell detection and tracking applied to in vivo fluorescence microscopy has become an essential tool in biomedicine to characterize 4D (3D space plus time) biological processes at the cellular level. Traditional approaches to cell motion analysis by m...
Neural Networks, Computer Image Processing, Computer-Assisted Humans Intravital Microscopy Cell Movement Diagnostic Imaging
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Application of Artificial Intelligence in Cardiovascular Imaging.

Journal of healthcare engineering Jan 12, 2022
During the last two decades, as computer technology has matured and business scenarios have diversified, the scale of application of computer systems in various industries has continued to expand, resulting in a huge increase in industry data. As for...
Image Processing, Computer-Assisted Radiography Artificial Intelligence Algorithms Diagnostic Imaging Humans Neural Networks, Computer
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Extendable and explainable deep learning for pan-cancer radiogenomics research.

Current opinion in chemical biology Jan 6, 2022
Radiogenomics is a field where medical images and genomic profiles are jointly analyzed to answer critical clinical questions. Specifically, people want to identify non-invasive imaging biomarkers that are associated with both genomic features and cl...
Machine Learning Neoplasms Deep Learning Genomics Humans Diagnostic Imaging
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