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
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.
The study was led by Yun-Woo Chang, MD, from Soonchunhyang University Seoul Hospital in collaboration with breast and general radiologists from six South Korean academic hospitals.
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.
X-ray and ultrasound machines were badly damaged in a rocket attack on Ukraine's largest children's hospital on July 8, according to radiologist Stanislav Rebenkov, MD. Rebenkov has been head of radiology at Ohmatdyt Children's Hospital since 2020. Broken glass and damaged equipment are found throughout the hospital.
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.
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
Hospital-based sites are more likely to be experiencing this shift compared to independent imaging centers. By site type, 55% to 59% of independent imaging centers and hospitals with 200 or more beds use one CT technologist for CT procedures, while this is only the case for 39% of hospitals with less than 200 beds.
Middlebrooks, MD, Mayo Clinic, Jacksonville, FL Erik H. Middlebrooks, MD, of the Mayo Clinic in Jacksonville, FL. Given the extensive array of sequences and techniques employed in clinical imaging, we must address the inherent challenges associated with each," he noted. Middlebrooks, MD. Louis, MO Dmitry Beyder.
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.
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. Another is hospitals absorbing these costs to differentiate themselves from competitors. This also reflects the regulatory side of things.
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. Between December 2021 and June 2024, 13 departments at three hospitals implemented the CDSS intervention and 13 departments did not.
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. Compared to EBRT, the team found that ablation was associated with shorter LOS (-2 days; p = 0.046); lower risk of in-hospital mortality (-3.4
“Providing clear guidance on when to order thyroid ultrasounds can help reduce unnecessary healthcare utilization and potential overtreatment," experts wrote.
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.
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. of breast pain symptoms.
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. Willi was the one to invent helical CT, the type of CT which is used today for all whole-body applications of clinical radiology," she said. Willi Kalender, PhD.
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.
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.
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.
Some ICU patients remain critically ill due to hospital-acquired infections despite a reversal of their original diagnosis, and outcomes for these patients are poor, with an estimated death rate of 25% due to organ failure, the authors explained.
. | S1-SSCH01-5 | E451A This scientific paper may increase overall confidence in the potential of using multimodal AI for tuberculosis (TB) detection, and potentially autonomous reporting, on chest radiographs in certain clinical settings. Stop by the session with your questions.
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.
The survey also found CT enterography and barium follow-throughs are still used in clinical practice; however, barium follow-through has a relatively diminishing role in IBD, and radiation exposure limits CT. Educate your patient in every clinical contact, he advised. A survey of patients in the U.K. That's a lot of MRI," he said. "If
Amy Patel, MD,director of the Breast Care Center at Liberty Hospital in Missouri, said that while there was uncertainty in the events leading up to the pandemic, her health system was fortunate in having an infectious disease specialist who closely tracked the diseases progress around the world.
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. Finally, Patel discussed take-home points that RSNA attendees can take back to the clinic.
The study results suggest that the model, called TotalSegmentator MRI, could improve radiology department workload, said senior author Jakob Wasserthal, PhD, of University Hospital Basel in Switzerland. The team then assessed the model's performance using Dice scoring. Example MRI scans in the training dataset. for 13 anatomic structures).
But the pressure kept building, and the number of CT and MRI scans grew by 20% annually in my hospital. By locking doors, retreating to hard-to-find PACS stations, giving up clinical meetings, and not answering phones or emails, radiologists found they could get more cross-sectional done. It is unsafe for our patients.
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. He earned his medical degree from Washington University in St.
Many in this group of high-earning IRs have held hospital leadership positions or authored clinical guidelines, raising questions about potential conflicts of interest.
"Practical AI implementation will require objective onsite performance evaluation, institutional information technology infrastructure integration, and postdeployment monitoring," wrote a team led by Eui Jin Hwang, MD, PhD, of Seoul National University Hospital in South Korea. van Beek, MD, of the University of Edinburgh in the U.K.
A large percentage of medical imaging created by most hospitals tends to come from the radiology department. Silos like these are a critical stumbling block for hospital IT infrastructure interoperability. This naturally improves diagnostic and treatment capabilities, especially when multiple clinical specialties are involved.
tesla MRI AI body composition analysis Cardiac PET Cryo/thermoablation CT colonography Genicular artery embolization Hyperpolarized xenon-129 MRI PET/MRI Photon-counting CT Radiomics Theranostics Whole-body MRI screening Image of the Year 3D PET/MR image.
AI based lesion-detection software used in daily practice can help identify clinically significant incidental lung nodules on chest x-rays, according to a study published November 13 in Scientific Reports. needed clinical management,” wrote lead author Shin Hye Hwang, MD, and colleagues.
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.
Previous reports have documented healthcare access disparities and lack of inclusion in clinical research regarding historically underserved populations. Lopez and co-authors studied the relationship between NIH research funding awarded to radiology departments and Lown Institute Hospitals Index rankings for inclusivity and community benefit.
It's like any clinical tool as well. The researchers also highlighted that before AI models are deployed in clinical settings, they must show their effectiveness across a wide range of scenarios and be validated by prospective studies. The platform works as an interface between existing clinical PACS and AI models.
The finding could help explain why Alzheimers disease predominates in women almost twofold over men, noted lead author Gillian Coughlan, PhD, a neurologist at Massachusetts General Hospital in Boston, and colleagues. Participants were clinically unimpaired and between ages 51 and 89 at the beginning of the study.
Ward and colleagues described the experience of American radiology residents in two Nepalese clinics. In the first clinic, the residents worked with an existing POCUS team in a pregnancy ultrasound clinic in the Mahalaxmi municipality on the outskirts of Kathmandu.
Alzheimer’s disease patients with cognitive impairment or dementia who were referred for amyloid PET scans had fewer hospitalizations compared with a matched control group, according to a study published October 9 in JAMA Neurology. The percentage of patients impacted was small – just 4.5%
It also explored any associations between POCUS findings and respiratory support at 12 and 24 hours, maximum respiratory support during hospitalization, disposition, and hospital length of stay. The researchers included data from 82 infants aged 12 months or younger. for discharged infants, 4.34
Researchers from Cedars-Sinai Medical Center in Los Angeles are among those monitoring the clinical and investigational role of AI in advanced cardiac CT imaging. These scans are often stored in hospital radiology systems for years without further use, but we could extract more information from these scans to guide preventative treatments."
The American Society for Radiation Oncology (ASTRO) has released a proposed update to clinical practice guidelines for partial breast radiation as an alternative to whole breast radiation for early-stage invasive breast cancer and ductal carcinoma in situ (DCIS).
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