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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. billion healthcare facility. Another, a new hospital complex is underway at University of Utah Health.
Women’s imaging at this year’s RSNA reflects momentous changes in trends regarding personalized, targeted healthcare in 2024 for women’s health. Research efforts toward supplemental breast imaging have ramped up in recent years and in Chicago, attendees can see results from these imaging modalities being put to the test.
Food and Drug Administration (FDA) has issued draft guidance providing recommendations to drug companies on the design of clinical trials for optical imaging drugs used with imaging devices during medical procedures. The FDA is taking comments on the guidance through April 8, 2025.
To better predict breast density, some researchers have turned to radiomics, where quantitative parameters are created from sets of images. They investigated which breast images could best predict breast density in these models. The team extracted a total of 123 imaging features from the 10 regions of interest of 96 women.
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.
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. The primary outcome measure was the proportion of inappropriate imaging requests made per department before and after implementation.
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.
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 hours on weekdays and 17.9
Using a deep-learning model with lung CT imaging shows promise for identifying and segmenting tumors, researchers have reported. To address the problem, Kashyap and colleagues developed and tested a 3D U-Net-based, image-multiresolution ensemble deep-learning model for identifying and segmenting lung tumors on CT scans.
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).
The Los Angeles-based imaging center operator recently inked a partnership with a Florida OB-GYN group and plans to "aggressively" pursue similar opportunities.
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.
The global medical imaging community has paid tribute to Willi Kalender, PhD, the renowned medical physicist who died on October 21 at the age of 75. He is the father of contemporary CT imaging -- and thus of clinical radiology as we know it today," Christiane Kuhl, MD, PhD, told AuntMinnie.com on November 4.
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.
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.
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. |
To explore the additional value of the technique, the group studied clinical reports on 47 patients admitted to ICUs between 2017 and 2024 who underwent F-18 FDG-PET/CT scans ten days or more after admission. There are several conceivable advantages of F-18 FDG PET/CT over conventional imaging. DEED, Attribution 4.0
The finding is from a preliminary analysis of 23 patients enrolled in an ongoing clinical trial, noted Giorgio Brembilla, MD, PhD, of the IRCCS San Raffaele Scientific Institute in Milan, Italy. The combination of PSMA-PET and MRI could improve the detection of clinically significant cancer in clinically high-risk patients, he concluded.
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.
Despite imaging referrals being frequent in a free clinic setting, less than half of referral submissions resulted in completed appointments, suggest findings published March 18 in ClinicalImaging. Underserved populations who may rely on charitable services like free clinics face more barriers than others.
Clinical analytics firm Covera Health has launched an AI-powered platform called Protect Her, which identifies early signs of breast cancer, cardiovascular disease, and osteoporosis during routine scans.
A significant percentage of imaging studies ordered by office-based healthcare providers are self-interpreted rather than referred to radiologists for reading, according to researchers from the Harvey L. million office-based imaging claims for Medicare fee-for-service beneficiaries in 2022 that were ordered by nonradiologists.
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. Behind him is an image created by one such generative AI model, which illustrates humans working alongside AI.
F-18 fluorothymidine (FLT) PET can identify early acute gastrointestinal graft versus host disease (GVHD) after patients undergo bone marrow transplants, according to a study published December 13 in Radiology: Imaging Cancer. F-18 FLT-PET imaging was performed on day 28. F-18 FLT-PET imaging of gastrointestinal GVHD.
Our study underscores the potential clinical utility of ultrafast MRI radiomics in breast cancer classification, irrespective of readers' experience levels, the team wrote. From there, the researchers extracted 1,618 radiomic features and four kinetic features from ultrafast and standard MR images. Ultrafast MRI model (Reader 2) 0.88
There's plenty of research and technologies on display at RSNA 2024 when it comes to breast imaging. She also talked about what breast imaging facilities can expect with the U.S. Finally, Patel discussed take-home points that RSNA attendees can take back to the clinic. Just ask Amy Patel, MD, from Liberty Hospital in Missouri.
Siemens Healthineers has adopted NVidia's MONAI Deploy, a module within its open-source research and development platform MONAI that aims to integrate AI workflows for medical imaging into clinical use. The module is a tool for developing, packaging, testing, deploying, and running medical AI applications in clinical production.
Whats more, Philips announced an AI research collaboration with the Mayo Clinic for cardiac MRI. Making use of the firms Precise Image reconstruction software, CT 5300 can achieve up to 85% lower noise and 60% better low-contrast detectability at 80% lower dose in comparison with conventional image reconstruction, Philips said.
An initial $600,000 award will “further Dr. Grist’s legacy of innovation in clinical care, imaging research and education,” according to Victoria Glazar, managing director of the GE HealthCare Foundation. Grist pushed the boundaries of knowledge in the fields of MRI and CT.
Conversely, F-18 FES-PET is a noninvasive, whole-body molecular imaging technique approved in 2020 that captures both spatial (differences based on location), and, when ER-positive patients are imaged at multiple time points, temporal heterogeneity (how tumors change over time), the authors noted. A visual abstract of the analysis.
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.
Thus, the researchers aimed to determine prospectively whether 18F-FES PET improves staging for patients with clinical stage II/III or local-regional recurrent, grade 1 or 2, ER-positive breast cancer compared with standard F-18 FDG-PET. Image and caption courtesy of the RSNA. The full study is available here.
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.
Advanced visualization (AV) software developer Ziosoft is showcasing the Atrena, an AV image viewer, at RSNA 2024. Atrena provides significantly enhanced 3D stereoscopic viewing capabilities from vendor-neutral DICOM images, according to the firm. Atrena is currently available for clinical use in Japan.
Agfa HealthCare and enterprise imaging marketplace platform firm Carpl.ai RUBEE for AI into Agfa HealthCare’s enterprise imaging system. Agfa stated that RUBEE can integrate directly into Agfa HealthCare enterprise imaging systems and is designed to work with already trusted tools.
Cardiac imaging teams should be aware not only of the adverse health effects of climate change but also the downstream environmental ramifications of cardiovascular imaging, suggests expert Kate Hanneman, MD, in an interview with AuntMinnie.com. AuntMinnie.com · Interview with Kate Hanneman, MD, on sustainability and cardiac imaging
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.
Digital breast tomosynthesis (DBT) has a diagnostic accuracy comparable to digital mammography for women referred for breast imaging, a study published January 10 in Cancer Treatment and Research Communications found. The retrospective study included data collected from 10,742 total exams from the two modalities. compared to 0.90
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