Keyword: imaging

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Report by the British Institute of Radiology

AI is the future of imaging

Medical and professional leaders in radiology overwhelmingly believe artificial intelligence (AI) will be the most positive development for their sector and their professions in the coming decade, according to a report by the British Institute of Radiology (BIR) published today.

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Minimally invasive

Improved biopsies with MRI-compatible ultrasound system

Biopsies are standard procedures in interventional radiology, not least for patients with a suspected tumor. In this instance, MRI is increasingly the method of choice for guiding minimally invasive tissue sampling. Yet this involves having to undergo repeated MRI scans, which patients find uncomfortable. In an ongoing R&D project, Fraunhofer researchers have now developed a system that…

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Inhalation visualised

New imaging tech gives insights into pulmonary drug delivery

Inhalation therapy is widely used for the treatment of lung diseases. Targeting of drugs to the site of disease is a major goal to improve drug efficacy and minimize side effects. Scientists at the Helmholtz Zentrum München and the Technical University of Munich have now shown that combined insight from various imaging methods allows for real-time monitoring of the dynamic process of drug…

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Better image quality with fewer sensors

Machine learning improves biomedical imaging

Scientists at ETH Zurich and the University of Zurich have used machine learning methods to improve optoacoustic imaging. This relatively young medical imaging technique can be used for applications such as visualizing blood vessels, studying brain activity, characterizing skin lesions and diagnosing breast cancer. However, quality of the rendered images is very dependent on the number and…

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Risk stratification

Cardio-controversy: Added value through CAD imaging?

ESC Congress, Paris: Two key strands in the ‘Controversies in imaging coronary artery disease’ session at the congress will examine the pros and cons of imaging use for coronary artery disease risk stratification in asymptomatic patients; the second strand will focus on whether CT angiography should be the first choice for imaging coronary artery disease in patients with stable chest pain.…

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ESC consensus statement

Intracoronary imaging advances

Interventional cardiologists have been aware of the value of intracoronary (IC) imaging in clinical practice for more than twenty years. However, recent developments and improvements in modalities and software have enabled huge strides in its range and scope for both diagnostic assessment and in percutaneous coronary interventions. Imaging options now include intravascular ultrasound (IVUS),…

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Upgrade your knowledge

Symposium: AI in medical imaging

In a symposium on September 9, 2019, the School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School) in Bern, Switzerland, provides an overview about current trends in artificial intelligence (AI) in medical imaging. From 8.30 to 17.00, participants in sitem-insel, Freiburgstraße, Bern will learn about the principles of AI as well as innovative applications in the…

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Multiscale integrative cross-disciplinary imaging

Linking pathology and radiology workflows

Pathologic-radiologic correlation is already utilised in various settings as a tool to assess the interpretive performance of imaging studies and identify radiologic features corresponding to histologic findings. However, correlative assessment is currently limited mainly to the fields of research and quality assurance, and is generally not a routine element of the radiologist or pathologist…

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CAS 'Artificial Intelligence in Medical imaging'

Advance your AI skills in Bern

The School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School) in Bern, Switzerland, offers a new Certificate of Advanced Studies (CAS) in Artificial Intelligence in Medical Imaging. The course aims to equip Medical Doctors (MDs) with the necessary skills to take a leading role in the AI-driven transformation of medicine. The course program was developed for medical…

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Agreement

French academic hospital deploys Philips imaging solution

Royal Philips and Centre Hospitalier Régional Universitaire (CHRU) de Nancy, a leading academic hospital in the Grand Est region of France, announced a 10-year agreement to implement Philips’ IntelliSpace Enterprise Imaging Solution, including Illumeo with adaptive intelligence. CHRU de Nancy is a public health institution that provides 1.2 million consultation visits and inpatient stays each…

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Artificial Intelligence

Allying AI to biomarkers is powerful but validation remains challenging

Using artificial intelligence (AI) to push development of imaging biomarkers shows great promise to improve disease understanding. This alliance could be a game changer in healthcare but, to advance research, clinical validation and variability of results must be factored in, a prominent Spanish radiologist advises. In clinical practice efforts are already ongoing to apply AI to obtain new…

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Certification

AI-fueled chest x-ray classifier gets CE mark

Spanish healthcare AI company QUIBIM announced that its AI-powered Chest X-Ray Classification tool has received CE certification. The company already obtained the class IIa CE mark earlier this year for the imaging biomarker analysis algorithms, the zero footprint DICOM viewer and the platform within the QUIBIM Precision platform, becoming the first Spanish firm to ever receive the clearance.

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ctDNA vs. HGSOC

Taking 'molecular snapshots' of ovarian cancer

High-grade serous ovarian cancer (HGSOC) is the most common and aggressive subtype of ovarian cancer. The HGSOC tumors consist of several heterogeneous cell populations with a large number of mutations. This genetic variability makes it difficult to find drugs that would kill all the cancer cells, and to which the cells would not become resistant during treatment. Over half of the patients…

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Magnetic resonance elastography

Faster than fMRI: Seeing brain activity in ‘almost real time’

The speed of the human brain is remarkable. Almost immediately upon being exposed to stimuli, neurons are activated, prompting subconscious reactions and, a fraction of a second later, thought. But the speed at which we can noninvasively follow brain function using an MRI is not as impressive. Functional MRI (fMRI), which measures changes in blood-oxygen levels, has revolutionized neuroscience by…

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ECR 2019

The impact of 3D printing in radiology

With increased precision, speed of service and reduced cost, 3D printing presents an opportunity to transform traditional healthcare and its delivery, and radiology is at the center of this new technology. In the ECR 2019 Special Focus Session “The 3D printing lab from bench to bedside”, the speakers emphasized that 3D printing does not only enable a new and innovative way to display imaging,…

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At age 2

AI and MRIs at birth can predict cognitive development

Researchers at the University of North Carolina School of Medicine used MRI brain scans and machine learning techniques at birth to predict cognitive development at age 2 years with 95 percent accuracy. “This prediction could help identify children at risk for poor cognitive development shortly after birth with high accuracy,” said senior author John H. Gilmore, MD, Thad and Alice Eure…

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