Search Tag: Artificial Intelligence
2021 05 Oct
AI negatively impact radiology as a career choice for US medical students. AI discouraged one-sixth of students from selecting radiology as a top speciality choice. The medical community pass on negative opinions on Radiology AIs to students. Incorporating artificial intelligence (AI) into the radiology workflow is an active research...Read more
2021 30 Sep
On 24 September in Nature Communications , NYU and NYU Abu Dhabi researchers reported developing an artificial intelligence (AI) system with radiologist-level accuracy for identifying breast cancer in ultrasound. Ultrasound is a critical tool used along with mammography for breast cancer screening, detection, and characterization. Compared to...Read more
2021 20 Jul
Although AI has been regarded as a tool for decreasing the workload of radiologists, a recent Dutch study shows that most current AI applications in medical imaging may have the opposite effect. Recent developments in artificial intelligence (AI) for radiology appear more likely to add to the workload of radiologists than reduce it, Dutch researchers...Read more
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
2021 10 May
Researchers from the Kobe University Hospital, Japan, have developed an AI that uses multiple types of test data to predict the location of surplus pathways in the heart. These “accessory pathways” cause the heart to beat irregularly. In this study on “Accessory pathway analysis using a multimodal deep learning model” published in Scientific Reports,...Read more
2021 09 May
Digital breast tomosynthesis (DBT) is increasingly used in breast cancer screening, as it increases sensitivity of mammography. Due to the large number of images, reading errors occur as well as an increase in reading time. This is based on findings from a study on the “Impact of artificial intelligence support on accuracy and reading time in breast...Read more
2021 01 Mar
The Novartis Foundation launched its HealthTech Dialogue Hub on 23 February 2021 to promote technology driven healthcare solutions and Artificial Intelligence (AI). This learning hub will host events, share lessons learned and best practices from the roll out of technology-enabled innovations, such as virtual doctors, e-health trackers and online prescriptions....Read more
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
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
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
2020 06 Aug
Collaboration will include data sharing, R&D and an upgrade of RadNet’s fleet of mammography systems to Hologic’s state-of-the-art imaging technology RadNet, Inc. a national leader in providing high-quality, cost-effective, fixed-site outpatient diagnostic imaging services, and Hologic, Inc., an innovative medical technology company primarily...Read more
2020 17 Jul
Affidea, the leading European provider of diagnostic imaging, outpatient and cancer care services, is pleased to participate this year at the European Congress of Radiology (ECR) with two presentations and six clinical digital posters for EPOS (the European Society of Radiology's online database for electronic scientific exhibits). In support...Read more
2020 17 Jul
In a joint session of the EFRS and the ISRRT at #ESC2020 Digital Congress, speakers from the UK, Ireland and the U.S. talked about Artificial Intelligence and the radiographer profession. Over the years, there has been a significant discussion on artificial intelligence (A.I.) and the role of the radiologist. Radiographers play an important...Read more
2020 19 May
Abstract ProFound AI™ is the latest artificial intelligence algorithm developed by iCAD , Inc., Nashua, NH using deep learning technology that is intended to be used concurrently by radiologists while reading digital breast tomosynthesis (DBT) exams. The algorithm detects soft tissue densities (masses, architectural distortions and asymmetries)...Read more
2020 23 Apr
EMPOWERING PHYSICIANS WITH DEEP INTELLIGENCE TO ENABLE ROUTINE CONFIDENT DIAGNOSIS Combining the power of Canon Medical’s Advanced intelligent Clear IQ Engine (AiCE) with Deep Learning Spectral Reconstruction imaging capabilities, Canon Medical Systems Europe B.V. introduces the Aquilion ONE / PRISM Edition, a spectral CT system designed for...Read more
2020 21 Apr
Screening imaging examinations, similar to many other elective medical procedures, are generally being put off as part of measures to curb the spread of the novel coronavirus disease (COVID-19). This has resulted in significantly reduced volume of cases for many radiology departments. You might also like : The View from Italy and...Read more
2020 26 Feb
The heavy workload radiologists deal with means that the potential for errors may increase. Misdiagnosis of intracranial haemorrhage (ICH) can lead to an adverse impact on patient outcomes. You might also like: AI and Radiology: Not Ready For Prime Time Researchers at Yale School of Medicine have released a...Read more
2020 20 Feb
The European Congress of Radiology (ECR) is the annual meeting of the European Society of Radiology, where professionals within the field come to meet and discuss all the latest developments in the radiological community. The theme of ECR 2020, “A Clear Vision for Radiology”, represents everything radiologists, radiographers, medical physicists,...Read more
2020 10 Feb
A new study published in the journal Radiology describes the feasibility of using a deep learning model to accurately assess radiographic features of hip osteoarthritis. The AI model's performance even rivalled the accuracy of trained radiologists , according to researchers. You might also like: White Paper...Read more
2020 04 Feb
Italian researchers have addressed the question of ethics in deployment of AI in radiology processes as the technology brings up questions about the responsibility of radiologists. You might also like: Top Radiology Societies Issue Statement on AI Ethics In an editorial published in La Radiologia Medica a team led by Prof. Emanuele...Read more
2020 21 Jan
Radiologic technologists are, on the whole, positive about the future role AI in imaging according to a recent white paper published by the American Society of Radiologic Technologists Foundation. Named The Artificial Intelligence Era: The Role of Radiologic Technologists and Radiation Therapists , the 21-page white paper gathered data and...Read more
2020 16 Jan
New findings show that radiomics and machine learning (ML) can be combined to help ascertain if late gadolinium enhancement (LGE) on cardiac MR images indicated myocardial infarction (MI) or myocarditis. You might also like: Machine Learning Improves Breast Cancer Screening and Diagnosis A study published in Radiology: Cardiothoracic...Read more
2020 02 Jan
A newly-published study in the journal Nature suggests that AI diagnoses breast cancer from mammograms more accurately than radiologists. A computer, specially designed and trained by a team of researchers from international bodies such as Google Health and Imperial College London, performed as well as two doctors working together....Read more
2019 27 Dec
As the year draws to a close, we take a look at our ten most viewed Imaging stories across our 2019 news and journals. Multisociety AI Radiology Ethics Framework Announced With AI moving into radiology at lightning speed, international imaging and informatics societies have worked together to produce a paper on ethics guidance....Read more
2019 18 Dec
Artificial intelligence (AI) is helping to automate and streamline work processes in the field of radiology, an early adopter of this emerging technology. With radiology AI applications growing at a brisk clip, there is an urgency to explore benefits and risks of such wide-ranging applications. It is precisely for this reason that the U.S. Food...Read more
2019 04 Dec
Affidea and Aidence announce a strategic partnership to streamline and improve the clinical performance of lung diagnosis and screening to drive the earlier detection and treatment in the case of lung cancer. As the leading European provider of advanced diagnostic imaging services, Affidea is starting the collaboration with Aidence, a medical...Read more