AIMC Topic: Diagnostic Imaging

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Patients' perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data.

Health informatics journal Jan 1, 2021
Results of radiology imaging studies are not typically comprehensible to patients. With the advances in artificial intelligence (AI) technology in recent years, it is expected that AI technology can aid patients' understanding of radiology imaging da...
Humans Artificial Intelligence Radiology Perception Technology Diagnostic Imaging
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Potentials of AI in medical image analysis in Gastroenterology and Hepatology.

Journal of gastroenterology and hepatology Jan 1, 2021
With the advancement of artificial intelligence (AI) technology, it comes in a big wave carrying possibly huge impact in the field of medicine. Gastroenterology and hepatology, being a specialty relying much on diagnostic imaging, endoscopy, and hist...
Quality of Health Care Diagnostic Imaging Quality Improvement Machine Learning Forecasting Gastroenterology Image Processing, Computer-Assisted Humans Artificial Intelligence
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Artificial intelligence in cardiovascular medicine.

Current opinion in cardiology Jan 1, 2021
PURPOSE OF REVIEW: Artificial intelligence is a broad set of sophisticated computer-based statistical tools that have become widely available. Cardiovascular medicine with its large data repositories, need for operational efficiency and growing focus...
Humans Machine Learning Algorithms Neural Networks, Computer Artificial Intelligence Diagnostic Imaging
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Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
With rapid advances in experimental instruments and protocols, imaging and sequencing data are being generated at an unprecedented rate contributing significantly to the current and coming big biomedical data. Meanwhile, unprecedented advances in com...
Genomics Diagnostic Imaging Algorithms Precision Medicine Prognosis Neoplasms Artificial Intelligence Machine Learning Humans
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Adversarial radiomics: the rising of potential risks in medical imaging from adversarial learning.

European journal of nuclear medicine and molecular imaging Dec 1, 2020
Diagnostic Imaging Humans Deep Learning
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Implementation and design of artificial intelligence in abdominal imaging.

Abdominal radiology (New York) Dec 1, 2020
Artificial intelligence is a technique that holds promise for helping radiologists improve the care of our patients. At the same time, implementation decisions we make now can have a long-lasting effect on patient outcomes. In the following article, ...
Diagnostic Imaging Radiologists Artificial Intelligence Machine Learning Algorithms Male Humans
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Rapid prediction of drug inhibition under heat stress: single-photon imaging combined with a convolutional neural network.

Nanoscale Nov 26, 2020
A method of predicting cellular drug inhibition due to heat stress is presented. Black phosphorus nanosheets are used as photothermal agents to induce stress granule formation in tumor cells. The addition of different drugs induces different thermal ...
Heat-Shock Response Diagnostic Imaging Pharmaceutical Preparations Neural Networks, Computer Algorithms Humans
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Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.

Journal of the American College of Radiology : JACR Nov 1, 2020
PURPOSE: Despite tremendous gains from deep learning and the promise of artificial intelligence (AI) in medicine to improve diagnosis and save costs, there exists a large translational gap to implement and use AI products in real-world clinical situa...
Diagnostic Imaging Radiology Algorithms Radiography Artificial Intelligence
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[Artificial intelligence and machine learning in oncologic imaging].

Der Pathologe Nov 1, 2020
Machine learning (ML) is entering many areas of society, including medicine. This transformation has the potential to drastically change medicine and medical practice. These aspects become particularly clear when considering the different stages of o...
Diagnostic Imaging Algorithms Neoplasms Artificial Intelligence Machine Learning Humans Neural Networks, Computer
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Machine Learning Applications for Head and Neck Imaging.

Neuroimaging clinics of North America Nov 1, 2020
The head and neck (HN) consists of a large number of vital anatomic structures within a compact area. Imaging plays a central role in the diagnosis and management of major disorders affecting the HN. This article reviews the recent applications of ma...
Machine Learning Head and Neck Neoplasms Diagnostic Imaging Image Interpretation, Computer-Assisted Humans
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