Search Tag: Artificial Intelligence

IMAGING Management

2024 29 May

  Lung nodules are crucial indicators of lung cancer, particularly in individuals with emphysema, a condition linked to smoking that alters lung structure on CT scans. Although automated AI algorithms offer promise in aiding radiologists, their performance may vary based on the presence of emphysema, potentially leading to increased false positives...Read more

IMAGING Management

2024 23 May

  OpenAI’s ChatGPT, powered by generative pretrained transformer language models, has shown promise in various fields, including medicine and radiology, despite its default version not being fine-tuned for specific domains. Studies have demonstrated its potential in assisting with decision-making, protocol creation, and patient inquiries. However,...Read more

IMAGING Management

2024 07 May

  In the pursuit of automating the detection and segmentation of intracranial aneurysms (IAs), a recent study published in European Radiology aimed to address the challenge of automating the segmentation and detection of IAs using deep learning techniques, specifically focusing on magnetic resonance T1 images. Through a retrospective diagnostic...Read more

IMAGING Management

2024 09 Apr

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will further develop its innovation platform to accelerate the development and deployment of AI-powered healthcare applications with a clear...Read more

IMAGING Management

2024 09 Apr

  The evolution of computing power has revolutionized the field of medical imaging, particularly in the realm of computed tomography (CT). One of the significant milestones in this evolution has been the introduction of iterative reconstruction methods, aimed at reducing image noise and radiation dose in CT scans. Initially, these methods were combined...Read more

IMAGING Management

2024 26 Mar

  Medical imaging AI company  Avicenna.AI  today announced that it has received 510(k) clearance from the US Food and Drug Administration for its CINA-iPE and CINA-ASPECTS products. Using a combination of deep learning and machine learning technologies, the company develops AI solutions that automatically detect and prioritize life-threatening conditions...Read more

IMAGING Management

2024 29 Feb

  New CT 5300 system provides more accurate and reliable imaging results to better manage increase in complex cardiac cases where precise patient diagnosis is crucial Philips’ latest innovation leverages the power of AI at every stage in CT scanner operation to enhance productivity and diagnostic capabilities of high-throughput, short-staffed...Read more

IMAGING Management

2024 09 Feb

  Royal Philips , a global leader in health technology, announced it will introduce its latest differentiating, AI-enabled innovations to improve patient care at the European Congress of Radiology (ECR) annual meeting in Vienna. By leveraging AI, these new technologies can help healthcare professionals make more accurate diagnoses, streamline workflows,...Read more

IMAGING Management

2024 07 Feb

  Jerome Descheirder has embarked on a new journey as a Member Board of Directors at PAIRE . With a distinguished career spanning over two decades, Descheirder brings a wealth of experience and expertise to his new role.   Prior to his appointment at PAIRE, Descheirder showcased his leadership prowess as a Member Board of Directors...Read more

IMAGING Management

2024 07 Feb

  A groundbreaking study has introduced a pioneering method to predict lymph node metastasis (LNM) in patients with non-functional pancreatic neuroendocrine tumours (NF-PanNETs), aiding in tailored treatment strategies and enhancing patient outcomes. Recently published in eClinicalMedicine, the research team from the University of Tsukuba harnessed...Read more

IMAGING Management

2024 22 Jan

RSNA and four other radiology societies from around the world have issued a joint statement on the development and use of artificial intelligence (AI) tools in radiology. The statement was published today in RSNA's journal,  Radiology: Artificial Intelligence .   "AI tools are an essential part of radiology's future," said RSNA President Curtis...Read more

IMAGING Management

2023 09 Aug

Located in the capital city of Zagreb, the teaching hospital Sisters of Charity is a prestigious medical institution boasting a tradition spanning over 180 years, making it one of the oldest and largest in the Republic of Croatia.   This state-of-the-art centre offers an extensive range of medical services while maintaining a strong focus...Read more

IMAGING Management

2023 10 Jul

Canon Medical is delighted to announce the commercial availability of its two latest ultrasound systems, Aplio flex and Aplio go, in Europe. With the growing challenges faced by medical staff, including high workload and work-related musculoskeletal disorders, Canon Medical recognizes the importance of supporting healthcare professionals in their daily...Read more

IMAGING Management

2023 24 May

Imaging plays a large and pivotal role in cancer diagnosis and treatment. Given the important role it plays, it is crucial countries have implemented coordinated screening programmes, particularly in low-resource environments.   However, low-resource countries face serious financial limitations, lack of imaging equipment and shortages of workers...Read more

IMAGING Management

2023 08 May

The EuSoMII Annual Meeting 2023 'AI: Connecting the dots' is taking place on 13-14 OCT 2023 at the M.A.C.C. - Meeting Art and Craft Center in Pisa, Italy   An exciting Program that includes Didactic lectures, Scientific talks, Panel discussions and Joint Sessions with friend societies will be presented by Top speakers and AI leaders...Read more

IMAGING Management

2023 13 Oct

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IMAGING Management

2022 12 Jul

Philips SmartSpeed AI-based software receives FDA 510(k) clearance, delivering breakthrough high-speed, high-resolution MR imaging Unique broad compatibility (97% of clinical protocols) allows faster and high-quality scans for virtually all patients with various conditions including those with implants Intelligent MR acceleration software...Read more

IMAGING Management

2022 09 Jun

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IMAGING Management

2022 07 Jan

What radiologists must do to remain visible to patients, radiologists at the University of Crete and University of Ioannina discuss in a recent article in the  European Journal of Radiology . In times past, radiologists worked in the background, invisible to the patient. During the second half of the past century, clinical training and function...Read more

IMAGING Management

2021 30 Oct

Obesity is associated with diabetes, but there are metabolically healthy individuals with excess body fat and others with normal body weight who develop insulin resistance.  The key risk factor is fat distribution.  Individuals who accumulate deep abdominal and visceral fat are more likely to develop insulin resistance than individuals with subcutaneous...Read more

IMAGING Management

2021 03 Mar

Presented by  Anjum Ahmed, Global Chief Medical Officer, Agfa HealthCare  Koen Vergote, Global Product Manager Analytics, Agfa HealthCare Find Agfa Healthcare on Social Media       Read more

IMAGING Management

2020 24 Oct

NOW A VIRTUAL EVENT  NEW DATES 24 OCTOBER, 2020 Find EUSOMii on Social Media Read more

IMAGING Management

2019 26 Nov

Siemens Healthineers presented its new Artificial Intelligence-driven (AI) scanner on the 21st of November, 2019 at the University Hospital Zurich (USZ) where the brand new Somatom X.cite premium single-source scanner with its high-end X-ray tube and the new myExam Companion technology has been successfully tested for several months.  ...Read more

IMAGING Management

2021 17 Sep

POSTPONED DUE TO COVID-19 HEALTH CONCERNS NEW DATES: SEPTEMBER 17 - 19, 2021 Read more

IMAGING Management

2018 27 Nov

In a study presented at the annual meeting of the Radiological Society of North America (RSNA) in Chicago, researchers using artificial intelligence have developed a deep learning algorithm that may lead to the reduction of the gadolinium dose used in contrast material for MRI exams. “There is concrete evidence that gadolinium deposits in the brain...Read more

IMAGING Management

2018 22 Sep

Artificial intelligence (AI) is the talk of the radiology world. While AI is unlikely to replace the radiologist, better adaptation in healthcare to new technology is needed. In this interview with HealthManagement, Paul Chang, Professor of Radiology at the University of Chicago, explains the importance of human-machine cybernetic harmony....Read more

IMAGING Management

2018 26 Apr

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