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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. A majority (179) of participants underwent multiparametric MRI, the authors noted.
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. Specifically, AI supporters are focusing on the lack of current procedural terminology (CPT) codes representing imaging services performed with AI.
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. Another, a new hospital complex is underway at University of Utah Health.
Independent imaging centers are experiencing increased competition for CT patients, according to the newly published IMV 2024 CT Market Outlook Report. Hospital-based sites are more likely to be experiencing this shift compared to independent imaging centers. Independent imaging centers 10.9 200-399 bed hospitals 15.5
Over 50% of the world's population (4 billion people) have no access to imaging, a number thought to be much higher in rural areas. Healthcare inequality -- and especially imaging inequality -- appears to be insurmountable on the surface and growing worse with each passing year. This is a solvable problem. It is that simple.
Implementing a clinical decision support system (CDSS) had little effect on reducing inappropriate imaging orders by doctors in university hospitals, according to a study published February 10 in JAMA. percentage points, which was not statistically significant, the researchers reported.
When it comes to medical imaging, radiology is what most often comes to mind, and for good reason. A large percentage of medical imaging created by most hospitals tends to come from the radiology department. In most cases, medical images and scans are placed into an electronic medical record (EMR) as a link. In the U.S.
A Swiss research team has developed and tested an AI model that automatically segments anatomic structures on MR images independent of sequence, according to a study published February 18 in Radiology. Images and caption courtesy of the RSNA. The team then assessed the model's performance using Dice scoring.
The study highlights how radiomics can help stratify risk in DCIS cases compared with clinical and qualitative imaging information alone, noted lead authors Kalina Slavkova, PhD, of Columbia University in New York City, and Ruya Kang, PhD, of Brown University in Providence, RI. Image courtesy of RSNA.
Work in our hospital, and especially in our radiology department, has been exceptionally challenging throughout this crisis -- and it continues to be so," Eva Llopis, MD, head of radiology at Hospital Universitari de la Ribera in Alzira, the capital of the comarca of Ribera Alta in the province of Valencia, told AuntMinnie.com on November 5.
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. Is adjacent x-ray imaging in the ER justified? Sunday, December 1 | 2:30 p.m.-2:40 2:40 p.m. |
Middlebrooks, MD, Mayo Clinic, Jacksonville, FL Erik H. Middlebrooks, MD, of the Mayo Clinic in Jacksonville, FL. His lab team is currently focused on "implementing advanced techniques, such as parallel transmit, to achieve more consistent image quality and fully harness the power of 7T for every patient," Middlebrooks said.
Key trends include hospital consolidation of radiology services, the need for stronger cybersecurity, and innovative strategies to address staffing shortages. The hospital takeover in radiology The healthcare landscape is witnessing a notable shift as hospitals evaluate taking radiology services in-house.
There's plenty of research and technologies on display at RSNA 2024 when it comes to breast imaging. Just ask Amy Patel, MD, from Liberty Hospital in Missouri. Patel, who serves as medical director of the hospital's Breast Care Center, spoke with AuntMinnie.com about trends and technologies she has seen during her time in Chicago.
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. Bill proponents say this inconsistency will negatively impact clinical AI adoption and patient access to these tools. However, the U.S.
The use of AI in thoracic imaging has begun to demonstrate "cumulative evidence of effectiveness," but more testing and research are needed to determine its feasibility for this application, according to a commentary published February 25 in Radiology. van Beek, MD, of the University of Edinburgh in the U.K. in an accompanying editorial.
Less than 1% of hospitalized cancer patients undergo percutaneous ablation to relieve pain associated with bone or soft tissue tumors, according to a study by researchers at Emory University. The image-guided procedure is done by interventional radiologists through a small hole the size of a pen tip. percentage points; p = 0.019).
BOSTON -- ChatGPT shows early promise in classifying clinically significant breast pain, according to research presented at the Conference on Machine Intelligence in Medical Imaging (CMIMI). ChatGPT also correctly identified most clinically significant breast symptoms. of clinically significant symptoms.
Canadian x-ray manufacturer KA Imaging plans to highlight clinical results regarding the use of its Reveal 35C detector in the intensive care unit (ICU) at the American Society of Emergency Radiology (ASER) meeting to be held in Washington, D.C.
14 announcement from Bracco indicates that the recently FDA-approved, gadolinium-based contrast agent VUEWAY, also known as gadopiclenol, is officially being used for patients undergoing MR imaging.
has developed neural networks for interpreting chest x-rays that could help speed the adoption of AI systems in clinical settings, according to a study published December 8 in The Lancet Digital Health. Six hospitals from three National Health Service (NHS) Trusts contributed 2.5 A group in the U.K. million frontal x-rays.
Chest dynamic digital radiography (DDR) may have received a boost toward clinical use in patients with lung disorders, with researchers developing AI to perform time-consuming analysis involved in the technology, according to researchers in New York City. Image and caption courtesy of Chest Pulmonary.
Gastrointestinal imagers should use high-quality MR enterography for complex inflammatory bowel disease (IBD) cases that can't be dealt with using intestinal ultrasound, even though both tests contribute to overall assessment, said an expert leading an advanced course on imaging Crohn's disease at ECR 2025. "MR
Epic reported that more than 2,000 Epic hospitals and more than 50,000 Epic clinics are either live or preparing to go live on the federal Trusted Exchange Framework and Common Agreement (TEFCA) framework for nationwide health data exchange.
The scanners could reconstruct images faster than we could report them. But the pressure kept building, and the number of CT and MRI scans grew by 20% annually in my hospital. The only way they could appease the gods of cross-sectional imaging was to avoid contact with other humans. But expectations have grown.
While the pandemic affected medical operations across the country, the experts said that radiologists developed and honed their sense of resiliency as imaging was placed on the front lines. Medical imaging played a significant role in the early days of the pandemic when it hit its initial peak in April 2020.
ChatGPT-4 demonstrated high accuracy in analyzing and interpreting thyroid and renal ultrasound images in a study published March 19 in Radiology Advances. These functionalities indicate the tool's potential to improve radiological workflows by pre-screening and categorizing ultrasound images,” Sultan told AuntMinnie.com.
In 2023, nonhospital sites faced more competition compared with hospital-based facilities for oncology-related diagnostic imaging scans, according to IMV’s recently published 2023 Oncology in Diagnostic Imaging Market Outlook Report. out of 5 rating, compared with hospital sites, which registered a 3.7 out of 5 rating.
Deep-learning models could have potential as predictive tools for breast cancer prognosis, a study published January 17 in Clinical Breast Cancer has found. They collected imaging data to establish deep-learning models using ResNet50. This means the combined model could predict prognosis after surgery.
Most Influential Radiology Researcher Erik Middlebrooks, MD, Mayo Clinic, Jacksonville, FL Erik Middlebrooks, MD. One of this year's nominations for Most Influential Radiology Researcher is Erik Middlebrooks, MD, of the Mayo Clinic in Jacksonville, FL. There's a huge role for AI in image acquisition," he said.
Deep learning-based image reconstruction (DLR) has been a hot topic in CT over the past five years, as researchers and vendors have continuously demonstrated the technology's potential to improve on legacy and filtered back-projection (FBP) reconstruction methods. Accordingly, commercial and research activity has accelerated.
AI developers can recognize and avoid pitfalls when creating models and tools for interpretative imaging performance, according to an analysis published July 24 in the American Journal of Roentgenology. However, certain issues must be addressed before these algorithms are fully integrated into clinical practice.”
ChatGPT-4 demonstrated high accuracy in analyzing and interpreting thyroid and renal ultrasound images in a small study published March 19 in Radiology Advances. These functionalities indicate the tool's potential to improve radiological workflows by pre-screening and categorizing ultrasound images,” Sultan told AuntMinnie.com.
Researchers led by ShivendraRai, MD, from King Georges Medical University in Lucknow, Uttar Pradesh, India, found that LUS scoring predicts surfactant administration better than chest x-ray in preterm neonates of 34 weeks' gestation admitted within 12 hours of birth with clinical suspicion of RDS. 1Each lung has been split into three parts.
Implementing imaging referral guidelines not only supports value-based radiology but makes it easier to communicate with patients about low-value services, according to findings presented February 29 at ECR 2024. Low-value imaging procedures result in an ineffective allocation of resources and imposes potential danger," Tay said.
Low-dose iron oxide tracers impact the quality of breast MR images, but not that of contrast-enhanced mammography (CEM), a study published February 5 in Surgical Oncology found. However, they also observed no such effect on CEM images. The researchers included 14 women in their prospective study.
Microflow imaging can differentiate between benign and malignant breast lesions, suggest findings published October 28 in Clinical Radiology. Microflow imaging and high-definition microflow imaging can detect more blood flow in breast lesions than color Doppler flow imaging…,” Luo and co-authors wrote. Grade 1 25.4%
A vision transformer (ViT) AI model outperformed convolutional neural networks when classifying tumors on PET/CT images as benign or malignant, according to a study published April 9 in Scientific Reports. The result boosted the clinical value of the approach, the group noted. “We Image courtesy of Scientific Reports.
ChatGPT may overprescribe medical imaging in the emergency department, suggest findings published October 8 in Nature Communications. Before large language models can be integrated within the clinical environment, it is important to fully understand both their capabilities and limitations,” Williams and colleagues wrote.
Low-dose iron oxide tracers impact the quality of breast MR images, but not that of contrast-enhanced mammography (CEM), a study published February 5 in Surgical Oncology found. However, they also observed no such effect on CEM images. The researchers included 14 women in their prospective study.
But getting ready for an uptick in musculoskeletal imaging doesn’t have to be daunting, according to Tim Klostermeier, MD, from UC Health in Cincinnati, OH. “I He received his certification for diagnostic radiology from the American Board of Radiology in 1997, specializing in musculoskeletal imaging. “It It’s a 24/7 operation.
A team led by Jinhao Lyu, MD, from the Chinese PLA General Hospital in Beijing found that the synthetic images produced by their system were comparable to real CTA images, which could help assess the aorta and carotid arteries while avoiding risks related to contrast media use. and p > 0.99, respectively).
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