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Members of Valencia's radiological community are reeling from the worst flooding experienced by the region for generations. Several radiology rooms were flooded, and it was tough to get them back up and running. Some people have expressed anger over the lack of preparedness and political leadership.
When radiologists interpretations are indeterminate, a commercially available deep learning algorithm could find clinically significant prostate cancer with improved specificity while maintaining sensitivity, suggested research published March 11 in Radiology. Per lesion, the algorithm demonstrated 80.3% sensitivity, compared with 93.2%
Radiology is undergoing significant changes in 2025, driven by healthcare advancements, regulatory challenges, and workforce dynamics. Key trends include hospital consolidation of radiology services, the need for stronger cybersecurity, and innovative strategies to address staffing shortages.
While academic medical center radiology departments are expanding significantly and hospitals are adapting to health system consolidation trends, demand for innovative imaging informatics remains strong among operations and physician teams. billion healthcare facility. Another, a new hospital complex is underway at University of Utah Health.
Radiology practices can create a more welcoming environment for radiologists returning from parental leave who breastfeed, according to a paper published November 26 in Current Problems in Diagnostic Radiology. However, only 13% of U.S. Tomblinson and co-authors offered strategies to support radiologist mothers as they return to work.
Although relatively few of these changes will impact radiology practices, its essential to know what they are and adjust your practice systems accordingly. This update reflects the procedure's established clinical use and is expected to facilitate broader adoption in treating conditions such as intracranial movement disorders.
In the setting of limited patient satisfaction data in interventional radiology, this work investigated predictors of high patient satisfaction scores to provide insights for interventionalists for optimal healthcare delivery, the group wrote in the study abstract.
ChatGPT has been effective in 84% of radiology research studies, yet it is still too soon to confirm its complete proficiency for clinical applications, according to a team at the University of California, Los Angeles. Summary of ChatGPT's topics in five different clinical areas of radiology (n = 44).
With 100% of precincts now reporting, we’re finally ready to declare this year’s winners in our annual awards program recognizing excellence in radiology. The voters also zeroed in on the ongoing shortage of radiologists as the Biggest Threat to Radiology. Most Influential Radiology Researcher Minnies 2024 Winner: Erik H.
and radiology has learned much since then, according to experts who directly dealt with the diseases impact. They also spearheaded the development of guidelines for the American College of Radiology (ACR), recognizing the role that imaging had in diagnosing COVID-19 in patients.
Food and Drug Administration (FDA) that use AI and machine learning, including those used in radiology. This legislation would create that system, improving diagnoses and encouraging the adoption of AI devices in clinical settings. Over three-fourths of all clinical AI in the U.S. cleared by the FDA are used in radiology.
Large-language models (LLMs) show potential for tracking interval changes on longitudinal radiology reports, according to research published April 11 in the Journal of Imaging Informatics in Medicine. National Institutes of Health Clinical Center. The full study is available here.
In the real world, I would argue a quality radiology report is one that is accurate in its interpretation and clear in its communication. We should all want the quality of radiology reporting to improve, both in accuracy and in clarity. The post Radiology Quality Police first appeared on Ben White.
An MRI-based radiomics model shows potential for distinguishing low- from high-risk cases of ductal carcinoma in situ (DCIS), an early form of breast cancer, according to a study published April 1 in Radiology. We look forward to future research on this clinically significant topic, they wrote.
Academic radiology departments and the American College of Radiology (ACR) will anchor a new Healthcare AI Challenge Collaborative hosted by Mass General Brigham AI. The velocity of AI innovations and breadth of their healthcare applications.
The noted academic institution trimmed about 3 minutes from the manual feedback-sharing process while also bolstering feelings of appreciation among its imaging team.
The GE HealthCare (GEHC) Foundation has given $3 million for the creation of a professorship at the University of Wisconsin (UW) School of Medicine and Public Health Department of Radiology. Tom Grist, MD. Grist pushed the boundaries of knowledge in the fields of MRI and CT.
This is a testament to how research has shifted from standalone studies on the accuracy of algorithms to how they may actually impact clinical workflows – and thereby perhaps move a step closer to broader clinical implementation. Chest x-ray AI evaluated in clinical routine at a Norwegian hospital Monday, December 2 | 1:30 p.m.-1:40
Each year, the Minnies award winners reflect the current challenges, issues, and advances in radiology. The technology figured prominently in five Minnies categories, including Hottest Clinical Procedure. And for the first time since 2018, physician burnout did not win the Minnies award for Biggest Threat to Radiology.
From large diverse charities such as RAD-AID International to smaller "mom and pop"/passion project charities such as Humanitarian Radiology Development Corp , there are many who put themselves on the frontlines of this battle, giving their time and money to help thousands in need.
VIENNA Generative AI may have novel applications in the clinic, but using the technology comes with its share of challenges and future directions, according to a presentation given February 26 at ECR 2025. Marc Kohli, MD, discusses current and potential future uses of generative AI in radiology at ECR 2025 in Vienna, Austria.
Imaging AI tools and algorithms continue to be rapidly developed and deployed into clinics, but experts say theres an elephant in the room that still needs to be addressed: reimbursement. New research comes out every week in radiology highlighting the performance and potential AI in assisting diagnosis of various pathologies.
There’s a reason why a classic radiology rite of passage is to miss an important finding and then overcall it on subsequent cases. Everyone is on the same team with the same goal of you one day becoming an outstanding clinical radiologist. The post Self-Worth as an Early Radiology Trainee first appeared on Ben White.
This is a photo gallery of artificial intelligence products cleared for clinical use in medical imaging by the U.S. Radiology by far is the leader of all clinical AI FDA approvals. Food and Drug Administration.
The American College of Radiology (ACR), Society for Interventional Radiology and the Washington State Radiological Society have submitted comments to the Washington State Health Care Authority (HCA) challenging its noncoverage policy for vertebroplasty, kyphoplasty, and sacroplasty (VKS).
CHICAGO Philips brought a range of new AI-enhanced offerings to RSNA 2024 aimed at bolstering efficiency and improving workflows for radiologists and radiologic technologists. Whats more, Philips announced an AI research collaboration with the Mayo Clinic for cardiac MRI. tesla BlueSeal MR wide-bore scanner.
Nina Kottler, MD, associate chief medical officer for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need for radiology practices and hospitals to learn how to perform quality assurance testing for bias.
AI models based on Google’s BERT are poised to play a pivotal role in radiology, according to a review published January 30 in the Journal of the American College of Radiology. Its implementation in radiology holds potential for enhancing diagnostic precision, expediting report generation, and optimizing patient care,” the group wrote.
BOSTON -- In a video interview at CMIMI 2024, Nina Kottler, MD, of Radiology Partners shares highlights from her keynote presentation on the clinical deployment of radiology AI. She reviews three key best practices and also offers some advice. Full coverage of Kottler's talk can also be found here.
The honor recognizes outstanding individuals in the field of medical imaging who have a proven record of improving radiological education and remain committed to creating and implementing new and innovative educational activities.
Large language models (LLMs) demonstrate high accuracy on radiology exams, yet decrease in accuracy over time, according to research published November 20 in the European Journal of Radiology. Claude, and Google Bard have demonstrated near-expert-level performance on radiology exams, the authors noted.
Radiologists seeking to provide equitable healthcare should establish "cultural dexterity" in their practices -- and there are three principles to follow, according to an article published August 6 in the Journal of the American College of Radiology. Cross-cultural patient encounters are now inevitable in radiology practice.
Large language model (LLM) Mistral outperformed Llama and rivals the performance of GPT-4 Turbo in a real-world application that assessed the completeness of clinical histories accompanying radiology imaging orders from the emergency department, researchers have reported. The study findings were published February 25 in Radiology.
It's like any clinical tool as well. As AI continues to surge in popularity among radiology departments, some departments may face unique challenges in applying the technology to medical images. The platform works as an interface between existing clinical PACS and AI models. The full description of PACS-AI can be found here.
The impending diagnostic radiology oral exam should be welcomed for aspiring radiologists, according to an article published January 5 in Academic Radiology. The American Board of Radiology (ABR) requires residents to pass two exams to become radiologists. The latter can be taken as early as 12 months after residency.
Deuterium metabolic imaging (DMI) was highly aligned with F-18 FDG-PET -- a cornerstone of dementia diagnostics -- in patients with Alzheimer's disease in a study published April 8 in Radiology. They compared the DMI results to clinical FDG-PET data from patient records. A graphical abstract of the study. Image courtesy of RSNA.
AI can generate radiologic report impressions that are professionally and linguistically appropriate for a full spectrum of radiology examinations, according to a study published September 17 in Radiology. GB of data, including 800 radiology reports. They then fine-tuned the model with a data set comprised of 1.5
Young people are optimistic about the use of AI in medicine, including in radiology, according to survey findings published recently in European Radiology. While AI tools are becoming more available in modern clinical settings, radiologists have been split on their integration into imaging workflows.
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