Search Tag: AI

IMAGING Management

Deep-learning-pet-imaging-model-for-lymphoma-shows-clinical-potential

2024 19 Mar

  The global demand for imaging tests to assess cancer is increasing, but there's a shortage of imaging specialists, particularly in low and middle-income countries. This leads to delays in scan reporting and patient management. Artificial intelligence (AI) using deep neural networks (DNNs) could help handle high scan volumes while maintaining diagnostic...Read more

IMAGING Management

Ecr-2024-day-3-strategic-deployment-of-ai

2024 01 Mar

  With more than 60 sessions dedicated to AI and machine learning, this new technology is definitely the centrepiece of this year’s edition of ECR. This session chaired by Daniela Baditescu (Romania) showcases the efforts and initiatives undertaken in the field, spanning from the establishment of federated infrastructures for cancer imaging to the...Read more

IMAGING Management

Ecr-2024-day-1-radiomics-and-artificial-intelligence

2024 28 Feb

  During a workshop on research presentations at ECR, authors from around the world shared recent advancements in studies exploring the association between AI and radiomics.   Handcrafted radiomics, deep radiomics and transcriptomics data provide complementary and potentiating prognostic information in soft-tissue sarcoma patients Amandine Crombé...Read more

IMAGING Management

Ai-demonstrates-comparable-performance-to-human-mammogram-readers

2023 20 Sep

Researchers in the UK conducted a comparative study using a standardised assessment to evaluate the performance of a commercially available artificial intelligence (AI) algorithm with human readers of screening mammograms. The outcomes of this research have been published in the Radiology journal.   Although double reading can increase cancer...Read more

IMAGING Management

Ai-enhances-breast-cancer-detection

2023 20 Sep

A recent study from the Karolinska Institute, published in The Lancet Digital Health, reveals that a single radiologist aided by AI detected more cases of breast cancer in screening mammography compared to the combined efforts of two radiologists. The findings were reported in the ScreenTrustCAD study conducted by the Institute. The team revealed that...Read more

IMAGING Management

Euroson-2023-another-hallmark-in-ultrasound

2023 02 Jun

Since the creation of the European Federation of Ultrasound Societies in Medicine and Biology (EFSUMB) just over 50 years ago, the 34 th EUROSON Congress this year was held in the Baltic Region by Congress president Assoc. prof. Maija Radzina, in the historic and vibrating city of Riga, Latvia for the first time.   As the annual showcase/hallmark...Read more

IMAGING Management

Ai-emerged-as-a-promising-tool-to-advance-global-radiology

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

Ai-in-medical-imaging-may-exaggerate-health-inequities

2023 15 May

Researchers from the University of Maryland School of Medicine (UMSOM) found that after analysing crowd-sourced sets of data used to create AI algorithms from medical images, most did not contain demographic data. In addition, they found the algorithms were not evaluated for inherent biases.   This implies that researchers or clinicians who may...Read more

IMAGING Management

Ai-impact-on-radiologists

2023 01 Mar

Although AI can help support diagnosis, impact personalised treatment, enhance patient engagement and can be used to model care coordination, it remains imperative that healthcare professionals understand how a patient perceives technology and how AI may come to influence their care.   Several doctors may experience overconfidence, meaning there...Read more

IMAGING Management

Ai-impact-in-lower-resource-countries

2023 01 Mar

It is a wide world phenomenon that we have a shortage of radiologists but this problem is even more pronounced in developing countries. Unfortunately, several of these countries lack specialists in addition to lacking radiologists. AI can have a great impact in these locations where radiologists are not present, and help to manage the work load of...Read more

IMAGING Management

Testing-whether-ai-can-replace-radiologists

2023 11 Jan

A recent study tested whether artificial intelligence could pass the rapid reporting element of the Fellowship of the Royal College of Radiologists exam, which radiologists in the UK are required to pass before the completion of their training.   The aim of the study was to test whether an AI candidate could pass the reporting exam and outperform...Read more

IMAGING Management

Ai-can-detect-early-signs-of-osteoarthritis-from-an-x-ray-image

2022 22 Dec

A team of researchers from the university of Jyväskylä and the Central Finland Health Care District developed an AI based neural network, that can detect early knee osteoarthritis from x-ray images.   This new method offers the potential to improve early detection, saving the patient from unnecessary examinations and treatments.   Typically,...Read more

IMAGING Management

Introducing-thats-life-in-flow-at-rsna-2022

2022 13 Oct

Introducing ‘That’s life in flow’: At  RSNA  2022, Agfa HealthCare will showcase how Enterprise Imaging creates an optimal work experience for radiologists. New functionalities and workflows let clinicians stay focused on what’s most important: patient diagnosis and treatment. The right solutions can help radiology leadership add value...Read more

IMAGING Management

Dynamic-brain-imaging-with-ai

2022 02 Aug

MRI, electroencephalography and magnetoencephalography are commonly used to study brain activity. However, new research from Carnegie Mellon University introduces a novel, AI-based dynamic brain imaging technology that maps out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost. The research aims to improve...Read more

IMAGING Management

Ai-vs-humans-detecting-incidental-pulmonary-embolism-on-chest-ct

2022 19 Jul

A study was conducted to assess the diagnostic performance of an AI algorithm for detecting incidental pulmonary embolus (iPE) on conventional contrast-enhanced chest CT examinations. Results show that the AI tool had a high negative predictive value (NPV) and moderate positive predictive value (PPV) for detection and was able to find some iPEs that...Read more

IMAGING Management

Philips-spotlights-latest-ai-powered-software-defined-mr-smart-systems-at-ecr-2022

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

Netflix-style-algorithm-for-blueprint-of-cancer

2022 21 Jun

A team of scientists have used artificial intelligence (AI) to develop a Netflix-style algorithm to investigate and categorise DNA changes across the cancer genome. The paper, titled “Signatures of copy number alterations in human cancer”, is published in  Nature. They identify 21 common faults that occur to the structure, order and number of...Read more

IMAGING Management

A-bold-new-world-ge-healthcares-pioneering-deep-learning-image-reconstruction-technology

2022 06 May

Artificial intelligence (AI) and healthcare access remain key themes at ISMRM as researchers and clinicians seek more efficient and effective solutions in today’s resource-constrained environment GE Healthcare highlights the continued expansion of its state-of-the-art AIR Recon DL technology across the totality of its 1.5T, 3.0T and 7.0T MR product...Read more

IMAGING Management

Eusomii-annual-meeting-2022

2022 14 Oct

Find EUSOMii on Social Media Read more

IMAGING Management

Chest-x-ray-ai-taking-on-detection-and-diagnosis-challenges-in-chest-x-rays

2021 02 Dec

Introducing the new RUBEE for AI package: Chest X-ray AI Early detection of abnormal findings in the lungs can be critical to patients’ survival. They say extreme pressure creates diamonds, but that’s not what you are looking for to provide good patient care! The pressure on radiologists from the high volume of cases can, for example, create...Read more

IMAGING Management

Artificial-intelligence-for-quick-and-precise-echocardiography

2021 05 Jul

The quantification and efficiency of performing measurements can be a challenge in daily cardiac ultrasound examinations. Providing the right support for reliable quantification and exam efficiency is needed so each user can perform a high-quality examination. In other words, our goal is to help sonographers and physicians obtain consistent measurement...Read more

IMAGING Management

3dquorumtm-imaging-technology

2021 25 Feb

Improving radiologist performance through Artificial Intelligence and SmartSlices Brad Keller, Ph.D, Director, Clinical Research Breast Health, Hologic, Inc. Ashwini Kshirsagar, Ph.D, Chief Scientist, Clinical Solutions, Research and Development, Hologic, Inc. Andrew Smith, Ph.D., Vice President, Image Research Breast Health, Hologic. Inc....Read more

IMAGING Management

Genius-aitm-detection-for-breast-tomosynthesis

2021 24 Feb

Improving radiologist performance and workflow through deep learning AI applications. Ashwini Kshirsagar, Ph.D., Chief Scientist, Clinical Solutions, Research and Development, Hologic, Inc. Brad Keller, Ph.D., Director, Clinical and Scientific Affairs Breast Health, Hologic, Inc. Andrew Smith, Ph.D., Vice President, Image Research Breast Health,...Read more

IMAGING Management

Rubeetm-for-ai-embedded-intelligence-supporting-the-clinical-workflow

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

Ai-algorithm-and-routine-imaging-to-predict-cardiovascular-risk

2021 01 Feb

Researchers at Brigham and Women's Hospital's Artificial Intelligence in Medicine Program (AIM) Program and the Massachusetts General Hospital's Cardiovascular Imaging Research Center (CIRC) have developed a deep learning system that automatically measures coronary artery calcium from CT scans. The system can help physicans and patients make better...Read more

IMAGING Management

Diagnosing-prostate-cancer-using-artificial-intelligence

2021 25 Jan

Prostate cancer is one of the most common cancers among men. Patients are determined to have prostate cancer based on Prostate-Specific Antigen (PSA), a prostate-specific antigen used as an index for the screening of prostate cancer. However, diagnostic accuracy for prostate cancer is as low as 30%. That is why a large number of patients have to undergo...Read more

IMAGING Management

Agfa-dell-partnership-hardware-solutions-for-storage-boost-clinician-efficiency

2020 16 Oct

To provide our Enterprise Imaging customers with powerful hardware solutions for storage, retrieval security, Agfa HealthCare has partnered with DELL Technologies. Mike Benol, Vice President Strategic Partnerships, Agfa HealthCare North America and Miriam Ladin, Director of Marketing and Communications, Agfa HealthCare North America, recently spoke...Read more

IMAGING Management

Covid-19-imaging-and-artificial-intelligence

2020 07 Oct

A new position paper provides a collection of views on the role of Artificial Intelligence (AI) in the COVID-19 pandemic. The paper discusses clinical tools, the design of AI-based systems and the application of these tools in the clinic. Factors in designing system solutions are also discussed. The authors focus on three specific use cases for which...Read more

IMAGING Management

Artificial-intelligence-in-medical-imaging

2020 18 Sep

Healthcare institutions perform imaging studies for a variety of reasons. While these imaging studies are helpful, very few have clinical therapeutic value. To avoid redundancy and ensure meaningful endpoints to imaging studies, Artificial Intelligence (AI) has now been introduced to the world of medical imaging. AI involves the use of computerised...Read more