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Most radiologists have heard of Moore’s Law. A close colleague observed that radiologists are affected by a type of Moore’s Law. The amount of scans a radiologist is expected to shift per day is increasing year on year. Today’s radiologist is expected to shift work at an eye-watering rate. Paul McCoubrie, MBBS.
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. Were trying to think about how radiologists can work alongside artificial intelligence, Kohli said.
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. The radiologist did not detect the lesion (arrow in E-G).
The voters also zeroed in on the ongoing shortage of radiologists as the Biggest Threat to Radiology. Middlebrooks, MD, Mayo Clinic, Jacksonville, FL Erik H. Middlebrooks, MD, of the Mayo Clinic in Jacksonville, FL. This year’s awardees include a few previous trophy winners, as well as several first-time recipients.
Using a deep-learning model with multisequence MRI can enhance the performance of radiologists for diagnosing endometriosis, researchers have reported. The study results could translate to better patient care, wrote a team led by Mana Moassefi, MD, of the Mayo Clinic in Rochester, MN. Of the total study cohort, 12.5%
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. between ChatGPT's outcomes compared to radiologists’ decisions and/or guidelines as reference standards.
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. The study found the following: AI-assisted radiologists detected 13.8% AI assistance led to an improvement in CDRs for general radiologists, with a 26.4%
With strong demand for medical imaging in many differing clinical contexts, hospitals are managing growing routine imaging demands while balancing teaching practices, ambulatory services, primary care, and subspecialty services. billion healthcare facility. Another, a new hospital complex is underway at University of Utah Health.
The finding is from an experiment that tested the impact of the software in three scenarios, as a prescreener, an assistant, or as a backup for radiologists, noted first author Meesun Lee, MD, of Seoul National University Hospital in South Korea, and colleagues. With AI as a prescreener, radiologists would avoid interpretation in 15.3%
An ultrafast MRI-based radiomics model performs just as well as standard MRI and isnt dependent on radiologist experience, according to research published January 25 in La Radiologia Medica. Ultrafast MRI offers faster temporal resolution than standard MRI, allowing for shorter scan times and better assessment of tumor kinetics.
Frequent AI use is associated with an increased risk of radiologist burnout, particularly among those with high workloads and low AI acceptance, suggests a study published November 22 in JAMA Network Open. times that of radiologists, they wrote. Among 6,726 radiologists included, 35.3% were female and 64.7%
About 12 years ago, vRad radiologists had the option to volunteer to read x-rays from Doctors Without Borders and Haitian Relief Services, a small nonprofit organization. Many of the radiologists wanted to contribute and support our colleagues doing charitable work. The response was overwhelming.
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.
. | 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. respectively, where that of three radiologists' ranged between 91.9% to 94.7%, 89.4%
A deep-learning model performs comparably to an abdominal radiologist when it comes to finding clinically significant prostate cancer on MRI, researchers have reported. This progress promises to improve patient outcomes through earlier and more accurate diagnosis of [clinically significant prostate cancer]." External 0.86
ARRS Two radiologists independently assigned ultrasound categories to exams performed in the first round of surveillance and visualization scores to exams performed in the first and second rounds. A third radiologist meanwhile settled disagreements between the first two radiologists. Specificity 82% 82.3% Specificity 92.6%
Growth in imaging work relative value units (wRVUs) is outpacing the growth of radiologists and the number of imaging services in the U.S. Aditya Khurana, MD, from the Mayo Clinic in Rochester, MN, discussed the results he presented with AuntMinnie.com, as well as how they point to quality and workforce challenges.
Radiologist peer review improves the rate of clinically meaningful changes to radiation therapy (RT) planning, researchers have reported. Radiologist participation in peer review translated to significant increases in plan change rates (49.4% The investigators found the following: A pooled rate of plan changes of 29%.
And it appears that radiologists are reading more cardiac CT exams, but not cardiac MRI studies, presenter Mustafa Al-Ogaili, MD, of the Mayo Clinic in Phoenix, AZ, told session attendees. The team tracked volumes by provider type (cardiologists, radiologists, and "other") and practice setting (hospital and nonhospital).
Radiology is ground zero for many of these innovations, and increasingly radiologists are being asked to take the lead in helping the healthcare system make the most of these technological breakthroughs. Radiologist as a technology leader is, in many ways, a very familiar role. Morris Panner, President of Intelerad.
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. Previous reports suggest that radiologists cite time, space, and support as barriers to breastfeeding.
Integrating eye-tracking data that map how radiologists interpret x-rays into deep learning AI algorithms could be key to developing more “human-centered” AI, according to a recent study. Difference between saccades, fixations, and attention heatmaps in radiologist eye-tracking studies. The full article can be found here.
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. Three radiologists served as ground-truth analysts.
In a study described as a “competition between radiologists,” participants tasked with identifying abnormal findings on chest x-rays performed better with AI assistance than without AI assistance – though not by much and not in all cases, according to a group in Nanjing, Jiangsu, China.
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. million usable free-text reports written by radiologists and 1.89 A group in the U.K. million frontal x-rays. on the MIMIC-CXR test.
ChatGPT-4 matched radiologists when tasked with detecting errors in imaging reports, with the study suggesting the technology may be useful for improving reporting accuracy, according to a study published April 16 in Radiology. ChatGPT-4 matched radiologists in detecting errors in radiology reports.
The Advanced Research Projects Agency for Health (ARPA-H) has tapped the American College of Radiology's (ACR) Chief Research Officer Etta Pisano, MD, to develop its clinical trial portfolio and lead its Advancing Clinical Trials Readiness initiative. Department of Health and Human Services.
Hanneman suggested that when more than one imaging test is appropriate to answer a clinical question, low-energy imaging tests can be prioritized. She told AuntMinnie.com that this includes building diverse teams that include all key stakeholders, including radiologists, technologists, leadership, IT, and facilities management.
Ultrasound use has shifted over the past decade, including whether radiologists, surgeons, or nonphysicians practitioners perform the exams, a study published on December 13 in the American Journal of Roentgenology found. from 2009 to 2021. The share of billed ultrasound services increased for radiologists from 31.6% to 19.6%).
Proponents of AI in radiology highlight the technology’s potential in assistant radiologists with image interpretation as well as improving patient care. “Biased data results in biased AI models,” Yahyavi said.
CHICAGO -- When AI in mammography is coupled with a safeguard radiologist review, women are more likely to pay for breast cancer screening mammography if the AI will boost exam results, research presented December 5 at the RSNA meeting suggests. For those enrolled, the clinical practices applied a U.S.
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.
With radiologists facing their fifth consecutive pay cut due to the 2025 Medicare Physician Fee Schedule, radiology practices are approaching hospital partners for stipends to continue offering their advanced services. Radiology professionals and groups must prepare now to adapt and thrive in this complex landscape.
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.
A radiologist’s perception when viewing a complex MR image may be akin to a Major League Baseball (MLB) batter reading the stitches on a fastball, according to researchers exploring exactly how diagnostic interpretations are made. They found that some observers performed better than expected for their rank and years of experience.
A radiologist in India has been arrested as an alleged key operator in an emerging al-Qaida-inspired terrorist group, according to an article by The Times of India. He owned a clinic in nearby Hazaribagh where he reportedly groomed individuals to join the group, according to the report.
More than one-third of radiologists around the world experience burnout, according to an analysis published July 17 in the American Journal of Roentgenology. The 2023 Medscape Physician Burnout and Depression Report indicated that radiologists have a high burnout prevalence of 54%. 39% vs. 35%.
Yoga could be one way to alleviate burnout symptoms in radiologists, a study published January 31 in JAMA Network Open suggests. Radiologists and radiation oncologists have reported experiencing burnout, which affects their well-being as well as their personal lives and patient care quality.
Interventional radiologists are disproportionately distributed in the U.S, of the United States population does not have access to an interventional radiologist, however, many patients would prefer minimally invasive care,” wrote first author Yusuf Ahmad, a student at Lake Erie College of Osteopathic Medicine in Erie, PA, and colleagues.
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.
Even expert, specialized radiologists performing their first reads on x-rays can miss up to two-thirds of all rib fractures, they added. The researchers used a custom dataset of 1,109 pediatric chest x-rays (624 with fractures present and 485 with fractures absent) manually labeled by seven pediatric radiologists.
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