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Developing and testing a new class of “super phantoms” is needed to optimize new medicalimaging techniques before they are used in human studies, according to an article published May 24 in Communications Engineering. Phantoms are test objects used for initial testing and optimization of medicalimaging techniques.
Keeping up with the latest technology, issues, and changes in medicalimaging can be challenging. At Atlantis Worldwide, we decided to simplify things for you.
RadiologyInfo.org , a source of medicalimaging information for the general public, has introduced a new series of articles and videos to help patients understand their radiology exam reports. In the videos, radiologists share some common findings while displaying sample imaging exams.
Researchers at the University of Zurich in Switzerland say they have produced the first cinematically rendered image from a patient based on a standard clinical F-18 FDG-PET/MRI scan. The article was published on July 1 in the European Journal of Nuclear Medicine and Molecular Imaging and featured as the journal's Image of the Month.
A multinational team of researchers has developed standardized image processing techniques that show promise for significantly improving the reproducibility of AI-based radiomics analysis. Before an AI algorithm can analyze a medicalimage, several processing steps need to be performed by software.
"As healthcare professionals, we can protect our patients by responding to the health effects of climate change and other environmental exposures and signal the importance of an urgent transition to environmentally sustainable imaging practice," the group noted.
Music can be calming for patients undergoing medicalimaging, an article published February 7 in Radiography suggests. This includes imaging procedures such as MRI, mammography, and PET among others. Previous research has explored ways to comfort patients during imaging procedures, one being musical intervention.
The group, led by Linjun Yang, PhD, of Mayo’s Orthopedic Surgery AI Laboratory, developed an efficient, accurate, and reliable AI algorithm to automatically identify key imaging features on patient shoulder x-rays. When classifying the imaging projection, the algorithm achieved F1 scores of 99.2% on aTSA, and 100% on RSA x-rays.
This year’s annual Radiological Society of North America (RSNA) conference came at what felt like a pivotal moment in the medicalimaging world. Yet medicalimaging teams still face significant changes and pressures. AI tools that enable radiographers to separate noise from an image already exist today.
We hope you enjoy our article as well as the opportunity to hear directly from the recipients. Given the extensive array of sequences and techniques employed in clinical imaging, we must address the inherent challenges associated with each," he noted. Avoiding certain sequences due to difficulties at 7T is not always practical.
An AI algorithm designed for brain PET imaging found a glioblastoma in a patient that had gone undetected by physicians, according to a case reported February 15 in the Journal of Nuclear Medicine. The group previously described developing the AI model in an article published last year.
Adopting a responsible framework could help overcome challenges in applying AI to medicalimaging, according to an article published in the Canadian Journal of Cardiology. This approach aims to increase the evaluation of AI models by making their integration and validation easier with existing medicalimaging databases.
Radiology departments can take proactive steps to promote environmental sustainability, according to an article published April 23 in Radiology. These include forming sustainability teams, opting for low-energy imaging tests when possible, and working with imaging vendors, among others. The full article can be found here.
newspaper coverage, news articles over the past 25 years have discussed AI’s advantages more than potential risks. However, radiologists were “infrequently” interviewed or quoted in these articles. The findings were published July 20 in Clinical Imaging. “It Of the total articles included, 154 had radiology as the primary focus.
Researchers at Cincinnati Children's Hospital Medical Center (CCHMC) have developed and validated an abdominal organ segmentation model and made it available as an open-source application for further research and potential clinical deployment in pediatrics, according to an article published in the American Journal of Roentgenology on May 1.
New articles will be published each Monday until our official anniversary at RSNA 2024. MRI safety articles have always been popular with our members, so it’s not surprising that our top article in 2019 reported on a safety incident in Sweden. There will be an investigation, conducted by the Swedish police.
Augmented reality (AR) systems may enhance image-guided tumor ablations by improving the accuracy of needle placements, according to a study published January 29 in the Journal of MedicalImaging and Radiation Sciences. The full article is available here.
In particular, AI/ML models are finding increasing applications in the analysis of medicalimages. This includes X-ray , computed tomography , and magnetic resonance images. A key requirement for the successful implementation of AI/ML models in medicalimaging is ensuring their proper design, training, and usage.
New articles will be published each Monday until our official anniversary at RSNA 2024. In 2005, our top article reported on the fierce turf war in the U.S. The ACR released a statement Wednesday supporting MedPAC's recommendations to set quality and safety standards for medicalimaging.
The RSNA and the MedicalImage Computing and Computer Assisted Intervention (MICCAI) Society have published a special report on how best to deploy AI tools into clinical radiology practice. Full access to the article can be found here.
Philip Pasfield, MD, a 64-year-old radiologist from Sydney, was sentenced on 18 January for driving under the influence of alcohol, narrowly escaping jail, according to an article posted by the Daily Telegraph (access requires subscription). on March 27, 2023, according to the article.
New articles will be published each Monday up until our official anniversary at RSNA 2024. Our article announcing the winners of our annual Minnies award is always highly popular among our members. Increased use of medicalimaging by other specialties (turf battles) HOTTEST CLINICAL PROCEDURE 1. 165-175).
Ultimately, the group described a method to correct the phenomenon to produce better images. The article was published March 7 in IEEE Transactions on MedicalImaging. The article was published March 7 in IEEE Transactions on MedicalImaging. Access to the full article is available here.
7-tesla MRI gets us closer in imaging to our pathology colleagues, and offers many new possibilities for better treatment," he said. Going forward, Middlebrooks plans to apply his skills to the further development of AI for image reconstruction. There's a huge role for AI in image acquisition," he said. Perry Pickhardt, MD.
A radiomics nomogram based on F-18 FDG-PET/CT imaging could help clinicians assess long-term outcomes in women undergoing treatment for locally advanced cervical cancer, according to a study published January 30 in BMC Cancer. The full article can be found here.
Current and future applications of ChatGPT and other large language models (LLMs) in radiology hold immense promise for improving patient care and outcomes, according to an article published October 5 in Academic Radiology. The full article can be found here.
Women in North America remain underrepresented in radiology subspecialties, leadership, and academia, according to an analysis published March 22 in Clinical Imaging. in pediatric imaging. Breast imaging was the only subspecialty in which women outnumbered men, ranging between 69% and 79.1%. in interventional radiology to 45.1%
The medicalimaging AI market is forecast to reach almost $2 billion by 2027. The market has yet to see widespread adoption of medical AI technologies, which requires widespread adoption for patient use (volumes), demand from referrers (awareness), and appropriate payment to providers (reimbursement). Parekh, PhD.
We hope you enjoy our article as well as the opportunity to hear directly from the recipients. Using understandable AI, OSCAR will connect imaging studies from 10 or more years ago to downstream events, Pickhardt explained. His work on abdominal imaging has led to over 500 scientific publications.
The Australian Society of MedicalImaging and Radiation Therapy (ASMIRT) is highlighting its AI position statement, a mentorship program from its flagship journal, and the availability of contrast-enhanced mammography (CEM) in South Australia. Program details are available in the JMRS section of the ASMIRT website.
The Australian Society of MedicalImaging and Radiation Therapy (ASMIRT) is highlighting its AI position statement, a mentorship program from its flagship journal, and the availability of contrast-enhanced mammography (CEM) in South Australia. Program details are available in the JMRS section of the ASMIRT website.
Corresponding lateral images and CT scans (when available) for these patients are presented in Figure S2 (supplementary data). The images shown in this figure were part of a public subset and not part of the set on which metrics are reported, which remains confidential for reevaluation in the future.
UCLA researchers have developed a deep-learning framework that teaches itself quickly to automatically analyze and diagnose MRIs and other 3D medicalimages—with accuracy matching that of medical specialists in a fraction of the time.
Radiology Advances , the first exclusively open-access journal of the RSNA, published its first articles on March 19. Susanna Lee, MD, PhD, chief of women’s imaging and officer of mentored research at Massachusetts General Hospital, is the editor. The home page of the journal can be found here.
Our podcast series uncovers insights from the imaging experts at Median Technologies, focusing on various topics related to medicalimaging in oncology clinical trials. Project Manager II at Median Technologies, the discussion was about the transformative potential of radiomics in medicalimaging and clinical trials.
New articles will be published each Monday until our official anniversary at RSNA 2024. In 2008, our top article shared the story of a $7 million settlement for allegations of fraudulent Medicare billing. A Florida radiologist has paid the U.S. government $7 million to settle allegations of healthcare fraud. In addition, the U.S.
They outlined their action plan in a Radiology in Focus article, published today in Radiology , a journal of the Radiological Society of North America ( RSNA ). vice chair of research and associate professor at the University of Toronto and deputy lead of sustainability at the Joint Department of MedicalImaging, Toronto General Hospital.
National Institutes of Health (NIH) has highlighted a study that showed OpenAI’s multimodal AI model GPT-4 Vision (GPT-4V) can solve medical quiz questions based on clinical images and a brief text summary, but it was prone to mistakes. The quiz includes CT, x-ray, pathology, MRI, and macroscopic clinical images.
milla1cf Fri, 03/29/2024 - 08:01 March 29, 2024 — Magnetic resonance imaging ( MRI ) is a cornerstone in the landscape of medical diagnostics, celebrated for its non-ionizing and non-invasive nature. For more information: [link] Friday, March 29, 2024 - 08:01
Radiology, RSNA’s leading medicalimaging research journal, was cited nearly 60,000 times, according to the Clarivate Analytics Journal Citation Reports. The Society publishes five established journals: Radiology, RadioGraphics, Radiology: Artificial Intelligence, Radiology: Cardiothoracic Imaging and Radiology: Imaging Cancer.
RSNA and the MedicalImage Computing and Computer Assisted Intervention (MICCAI) Society have led a series of joint panels and seminars focused on the present impact and future directions of AI in radiology. The article also emphasizes the importance of collaboration to improve clinical deployment.
The answer lies in the intricate world of advanced computation that forms the basis of radiomics, which in essence is a form of imaging texture extraction that is not feasible with the naked human eye. Our article offers a pragmatic guide for robust radiomic research. Insights Imaging 14:75 3. Insights Imaging 11:91 4.
Over the past 100 years, medicalimaging has become vital to almost every medical practice. X-ray machines can last for many years, but it's essential to have a properly functioning and technologically up-to-date machine to obtain accurate images in your practice.
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