This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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. Interpretation accuracy is compared with biopsy results. Giorgio Brembilla, MD, PhD.
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. Large language models that employ generative AI, such as ChatGPT and Gemini, have become a part of daily general life.
Radiologists highly prefer patient clinical histories generated by large language models (LLMs) for oncologic imaging requisitions to those typically produced by referring physicians,according to research published February 4 in Radiology.
"Nonradiologist specialties, aside from cardiology, lack the rigorous and comprehensive training in imaginginterpretation that occurs during the four years of a radiology residency program. The complete study can be found here.
“These functionalities indicate the tool's potential to improve radiological workflows by pre-screening and categorizing ultrasound images,” Sultan told AuntMinnie.com. This technology, if implemented in clinical practice, will have great potential in enhancing medical imageinterpretation and healthcare outcomes.”
Researchers led by Seyed Tabatabaei, MD, from Massachusetts General Hospital and Harvard Medical School in Boston, in their clinical perspective outlined these pitfalls and made suggestions on AI model training and validation, as well as using diverse datasets. Tabatabaei and co-authors outlined these pitfalls and how they lead to AI errors.
“These functionalities indicate the tool's potential to improve radiological workflows by pre-screening and categorizing ultrasound images,” Sultan told AuntMinnie.com. This technology, if implemented in clinical practice, will have great potential in enhancing medical imageinterpretation and healthcare outcomes.”
Under scrutiny As medical imaging platforms evolve, even subtle changes in how images are rendered on new viewers can alter how they appear to radiologists, despite the underlying data remaining unchanged. These variations, while often imperceptible to the untrained eye, can influence clinicalinterpretation.
These studies have shown how AI aids in imageinterpretation, reduce false-positive cases, and potentially help decrease the workload of radiologists. From there, a second radiologist retrospectively reviewed the images, being blinded to the patient’s clinical data. of follow-ups,” the Guldogan team wrote.
Proponents of AI in radiology highlight the technology’s potential in assistant radiologists with imageinterpretation as well as improving patient care. “Biased data results in biased AI models,” Yahyavi said.
ChatGPT demonstrates modest accuracy when assigning BI-RADS scores for mammograms and breast ultrasound exams, according to research published October 30 in ClinicalImaging. Previous reports suggest that large language models can correctly recommend appropriate imaging modalities for patients based on their clinical presentation.
AI improves chest x-ray imaginginterpretation by nonradiologist practitioners, which could be useful in low-resource settings, according to research published January 29 in Chest. That last part can be challenging for nonradiologists who do not constantly interpret diagnostic imaging exams.
UltraCon will present opportunities for professional networking, educational enhancement, and reviewing technologies that could improve clinical practice. And while AI continues to gain ground in imaging departments, Jones said the technology has a while to go before becoming a day-to-day part of clinical workflows.
Burnout was defined by emotional exhaustion (EE) or depersonalization (according to the Maslach Burnout Inventory) and workload was assessed based on working hours, number of imageinterpretations, hospital level, device type, and role in the workflow.
The software identifies suspicious regions of interest (ROIs) on chest x-rays and assigns each ROI to one of eight clinical categories consistent with reporting guidelines from the RSNA. other physicians are increasingly being tasked with interpreting chest x-rays, despite lack of training, the team noted.
An AI model that acts as a first-read “augmentation technique” could improve both detection of rib fractures and the speed of imageinterpretation, especially for non-expert readers, the authors suggested. The full article is available here.
USARad provides imaginginterpretation and database services to radiology practices, hospitals, medical clinics, diagnostic imaging centers, urgent care facilities, and multispecialty physician groups in the U.S. and five additional countries, according to Nanox.
Participating healthcare professionals will be granted access to the Healthcare AI Challenge that features late breaking AI solutions they can assess for effectiveness on specific medical tasks, such as providing medical imageinterpretation, in a simulated environment.
Systematic approaches to imageinterpretation are generally regarded as a cornerstone in the education of trainees. As a potential alternative, researchers have begun to explore the use of AI for artificially generating clinical cases.
In some interventional radiology practices, advanced practice providers -- including PAs and NPs -- provide nonprocedural evaluation and management services, including consultations and clinic visits. But it also appears that the volume of PICC placements, paracentesis, and thoracentesis performed by PAs and NPs increased by 10.5%
Whether it’s attempting to get appropriate clinical histories from referring physicians or getting a tech to split up a multiphasic contrast study into separate image series, consistently striving to fight the good fight for optimal imageinterpretation is worth the effort.
We believe it further validates the clinical utility of POSLUMA in patients with newly diagnosed or recurrent prostate cancer, and can help expand patient access. FDA, as well as on the Phase 3 clinical trial results published recently in the Journal of Urology and European Urology. Chief Executive Officer of the Company. “We
“The availability of a standardized imaging procedure will help to promote the appropriate use of F-18 FES-PET and enhance subsequent research,” wrote lead author David Mankoff, MD, PhD, of the University of Pennsylvania in Philadelphia, and colleagues.
The collaboration aims to unify diagnostic workflows, improving access to critical insights and driving better outcomes across clinical specialties. By automating routine tasks and optimizing workflows, clinicians would be able to dedicate more time to imageinterpretation, consultations and patient interactions.
Accuracy of CNN models, ultrasound users in detecting pancreatic neuroendocrine neoplasms Imaginginterpreter Accuracy CNN1 84.2% The iEUS shows great potential in promoting [neoplasm] diagnosis of endosonographers in clinical practice, which is expected to be beneficial for improving the outcomes of … patients,” they wrote.
A diagnostic radiologist who recently joined Ochsner clinic in New Orleans, LA, after partnering at Southeast Radiology in Pennsylvania, Rubin expects consolidation in radiology to continue. Maybe consolidation is good," Rubin told residents. Neiman Health Policy Institute explained in a July ACR blog.
The rising demand for imaging services, coupled with an aging population and ever-increasing shortage of radiologists, creates the perfect storm for backlogs on a reading list. At seven days post-imaging, nearly half had unreported brain and chest CT scans, while 59% had unreported chest radiographs. The consequences are significant.
Critically review your own work and identify areas where you can improve, such as imageinterpretation accuracy or communication skills. Experiment with different approaches to imageinterpretation, procedural techniques, or patient communication to identify what works best for you. Don’t shortchange yourself.
Professor of Clinical Ophthalmology at the University of Edinburgh and NeurEYE co-lead, Baljean Dhillon, said, The eye can tell us far more than we thought possible. If we had known, then we would have had help with the additional and demanding support that became necessary.
Discuss how remote imageinterpretation has brought specialized radiological expertise to underserved communities, reducing the need for patients to travel long distances for diagnostic services. Emergency Imaging Response: Highlight a success story where teleradiology played a crucial role in emergency situations.
PET imaging with POSLUMA reveals clinical information crucial to decision-making for men with prostate cancer, and we are excited to share further information with the radiation oncology community at ASTRO 2023,” said David E. Clinical correlation, which may include histopathological evaluation, is recommended.
As patient procedures grow in number and complexity throughout a variety of care areas, today’s staffing shortages and other clinical challenges are expected to become more significant. This includes MIMneuro , which offers quantification solutions for dopamine transporter imaging and amyloid imaging. iii Immerzeel J.,
As in: is this additional imaging or clinical finding subtle or simply not there? Imaginginterpretation is a surprisingly noisy process. When findings make sense for a given clinical picture, we are more likely to believe them.
PMID: 38349294 Clinical Question: Can a remote consult protocol using point-of-care OCT improve the time to diagnosis and treatment of retinal artery occlusions in patients presenting with painless monocular vision loss? 66% of treated patients showed clinically significant improvement in VA within 24 hours. Ophthalmology.
Multiple studies suggest that 18 F-FES PET—which is approved for clinical use in France and the United States—offers advantages in assessing tumor ER expression, predicting response to ER-targeted therapies, and clarifying equivocal staging and restaging results in patients with ER-expressing cancers.
The ImageInterpretation Session, moderated by C. 30, will focus on successful collaboration between radiologists and physicists in technical developments and clinical translations in medical imaging. Vin Gupta, M.D., will speak Nov. 29, Jocelyn Chertoff , M.D., Douglas Phillips, M.D.,
Project Manager II at Median Technologies, the discussion was about how variability in imaginginterpretation can lead to discrepancies in oncology clinical trial results. This is an excerpt from our podcast “Shaping Results through Imaging: Addressing Variability in Oncology Trials”. Hosted by Connor Anderson , U.S.
Introduction: Radiologists play a crucial role in modern healthcare by interpreting medical images to diagnose and guide patient treatment. To enhance diagnostic accuracy, reduce malpractice risk, and provide the highest level of patient care, radiologists employ search patterns in their imageinterpretation processes.
AI-Powered Image Analysis: Explore the integration of Artificial Intelligence (AI) in teleradiology for advanced image analysis. Discuss how AI algorithms are evolving to assist radiologists in detecting subtle abnormalities, improving diagnostic accuracy, and expediting imageinterpretation.
To minimize such errors and reduce malpractice risk, radiologists rely on search patterns, a structured approach to imageinterpretation. Comparison Approach: When multiple imaging studies are available for the same patient, radiologists compare current images to previous ones to identify changes and disease progression.
AI in Radiology: Revolutionizing ImageInterpretation and Diagnostic Precision: Discuss the transformative impact of AI in radiology. Explore how the collaboration aims to leverage AI to revolutionize imageinterpretation, enhance diagnostic precision, and streamline radiological workflows.
Having assisted with imageinterpretation of CT LVAS exams in Australia, I've seen the diagnostic power of adding functional assessment to the structural information provided in standard non-contrast chest CTs,” said Greg Model, MD, consultant radiologist at 4D Medical. More information: www.4dmedical.com
By leveraging advanced algorithms, machine learning can identify trends and make connections that were previously unrecognizable, thereby enhancing clinical decision-making and patient care. Machine Learning in Healthcare Examples Machine learning applications are transforming various care settings and clinical operation workflows.
Highlight capabilities such as on-the-go imageinterpretation, real-time reporting, and seamless integration with existing radiology workflows. Discuss the potential for community outreach programs, mobile clinics, and collaborations with healthcare events to bring diagnostic services directly to communities in need.
We organize all of the trending information in your field so you don't have to. Join 5,000 users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content