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This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.
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Magnetic Resonance Imaging (MRI) is a widely used medical imaging technology that is non-intrusive and considered safe for humans and can generate different modalities of an image, as well as provide valuable insights into a specific disease. The frequent sequences of MRI are T1-weighted and T2- weighted scans. The popularity of artificial intelligence (AI) for brain MRI is on the
The aim of this study was to qualitatively explore the perception of radiographers in relation to the integration and acceptance of artificial intelligence (AI) in medical imaging practice on the continent of Africa. Participants of this study consisted solely of radiographers working in Africa between March and August 2020. The study demonstrated a positive outlook regarding AI in relation to
In the past decade, deep learning architectures, which essentially consist of neural networks with numerous layers, have emerged as a dominant class of machine learning algorithms. Owing to the availability of larger datasets in radiology and access to high-performance graphical processing units, deep learning has provided state-of-the-art performance for various computer vision tasks such as lesion detection, segmentation, classification, monitoring,
AI adds a new dimension to brain and abdominal imaging in a number of clinical scenarios, but lack of data sharing as well as reproducibility and standardization issues must be addressed, top European radiologists explained during the ESR AI Premium event. Detecting the invisible and the visible In the brain, AI can help to detect things that are invisible to
While the use of artificial intelligence (AI) in radiology eases workflows, it may also lead to a better and more precise understanding of disease. Predicting the course of cancer from imaging data could become a part of the clinical routine in the next few years. Many experts believe that the increasing use of AI in radiology will fundamentally change the
Medical imaging AI is progressing fast, boosted by an industrious community and technology advances. The market, however, is not big enough to support all the companies involved in the field and European radiologists still lack proper training, according to Simon Harris, principal analyst at Signify Research. What are the current market trends? The technology is starting to mature. It is
The buzz around artificial intelligence (AI) in medical imaging has turned into a boom, which is turning into a bubble. When the bubble breaks, start-ups better have a solid sales strategy, according to leading Spanish researcher in quantification. Deepening gap between funding and profit Funding in start-ups who develop AI for medical imaging is increasingly moving away from actual value
Magnetic Resonance Imaging (MRI) is a widely used medical imaging technology that is non-intrusive and considered safe for humans and can generate different modalities of an image, as well as provide valuable insights into a specific disease. The frequent sequences of MRI are T1-weighted and T2- weighted scans. The popularity of artificial intelligence (AI) for brain MRI is on the
The aim of this study was to qualitatively explore the perception of radiographers in relation to the integration and acceptance of artificial intelligence (AI) in medical imaging practice on the continent of Africa. Participants of this study consisted solely of radiographers working in Africa between March and August 2020. The study demonstrated a positive outlook regarding AI in relation to
In the past decade, deep learning architectures, which essentially consist of neural networks with numerous layers, have emerged as a dominant class of machine learning algorithms. Owing to the availability of larger datasets in radiology and access to high-performance graphical processing units, deep learning has provided state-of-the-art performance for various computer vision tasks such as lesion detection, segmentation, classification, monitoring,
AI adds a new dimension to brain and abdominal imaging in a number of clinical scenarios, but lack of data sharing as well as reproducibility and standardization issues must be addressed, top European radiologists explained during the ESR AI Premium event. Detecting the invisible and the visible In the brain, AI can help to detect things that are invisible to
While the use of artificial intelligence (AI) in radiology eases workflows, it may also lead to a better and more precise understanding of disease. Predicting the course of cancer from imaging data could become a part of the clinical routine in the next few years. Many experts believe that the increasing use of AI in radiology will fundamentally change the
Medical imaging AI is progressing fast, boosted by an industrious community and technology advances. The market, however, is not big enough to support all the companies involved in the field and European radiologists still lack proper training, according to Simon Harris, principal analyst at Signify Research. What are the current market trends? The technology is starting to mature. It is
The buzz around artificial intelligence (AI) in medical imaging has turned into a boom, which is turning into a bubble. When the bubble breaks, start-ups better have a solid sales strategy, according to leading Spanish researcher in quantification. Deepening gap between funding and profit Funding in start-ups who develop AI for medical imaging is increasingly moving away from actual value
You will have access to a wide range of benefits that can help you advance your career and stay up-to-date with the latest developments in the field of radiology. These benefits include access to educational resources, networking opportunities with other professionals in the field, opportunities to participate in research projects and clinical trials, and access to the latest technologies and techniques.
If you don’t find a fitting membership send us an email here.
for radiologists, radiology residents, professionals of allied sciences (including radiographers/radiological technologists, nuclear medicine physicians, medical physicists, and data scientists) & professionals of allied sciences in training residing within the boundaries of Europe
€ 11 /year
€ 0
For students, company representatives or hospital managers etc.
€ 0
The membership type best fitting for you will be selected automatically during the application process.
Reduced registration fees for ECR 2025:
Provided that ESR 2024 membership is activated and approved by August 31, 2024.