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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. Marc Kohli, MD, discusses current and potential future uses of generative AI in radiology at ECR 2025 in Vienna, Austria.
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.
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).
With 100% of precincts now reporting, we’re finally ready to declare this year’s winners in our annual awards program recognizing excellence in radiology. The voters also zeroed in on the ongoing shortage of radiologists as the Biggest Threat to Radiology. Most Influential Radiology Researcher Minnies 2024 Winner: Erik H.
Members of Valencia's radiological community are reeling from the worst flooding experienced by the region for generations. Several radiology rooms were flooded, and it was tough to get them back up and running. Some people have expressed anger over the lack of preparedness and political leadership.
Radiology is undergoing significant changes in 2025, driven by healthcare advancements, regulatory challenges, and workforce dynamics. Key trends include hospital consolidation of radiology services, the need for stronger cybersecurity, and innovative strategies to address staffing shortages.
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.
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.
Interventional radiologists who excel in communication, positive outcomes, and cultural competence receive high patient ratings, according to a study presented at the recent RSNA meeting. These platforms provide insights into a physician care quality, including interventional radiologists, by capturing positive and negative feedback.
and radiology has learned much since then, according to experts who directly dealt with the diseases impact. 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.
Although relatively few of these changes will impact radiology practices, its essential to know what they are and adjust your practice systems accordingly. This update reflects the procedure's established clinical use and is expected to facilitate broader adoption in treating conditions such as intracranial movement disorders.
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.
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.
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. Automated systems can potentially reduce radiologist's workload, minimize human errors and provide more consistent and reproducible results."
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.
A group in South Korea has validated a generative AI model that could reduce reading times and increase chest x-ray reporting accuracy, according to a study published March 11 in Radiology. Five radiologists interpreted the chest radiographs in two sessions: without AI-generated reports and with AI-generated reports as preliminary reports.
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%
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.
The American College of Radiology (ACR) updated its LI-RADS Ultrasound Surveillance algorithm in 2024. 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. Specificity 82% 82.3% Specificity 92.6%
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. The study was published in the March issue of the European Journal of Radiology. Image courtesy of the European Journal of Radiology.
Forensic radiologists and radiologic technologists apply their expertise to imaging exams -- typically x-ray and CT -- intended to illuminate signs of trauma. So how do these experts approach forensic radiology? Training is key What is forensic radiology? There are significant legal implications," she said.
Radiologist peer review improves the rate of clinically meaningful changes to radiation therapy (RT) planning, researchers have reported. Hughes and colleagues conducted a literature review to investigate the rate of changes to the RT plan with and without radiology involvement in peer review of radiation targets.
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.
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.
A deep-learning model performs comparably to an abdominal radiologist when it comes to finding clinically significant prostate cancer on MRI, researchers have reported. The study findings were published August 6 in Radiology. External 0.86 External 0.86 The complete study can be found here.
In her presentation, Noushin Yahyavi, MD, from the University of Maryland in Baltimore discussed ways that stakeholders in imaging AI, including radiology departments and AI vendors, can better promote health equity with the technology. We do see a need to positively impact healthcare equity in radiology,” Yahyavi said.
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. These results highlight that, at best, experience is an uncertain predictor of expertise level,” Alexander said.
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
A prominent radiologist was one of eight doctors who died August 9 in a plane crash in Brazil. “It It is with great sadness that we announce the death of José Roberto Leonel Ferreira, MD, a full member of the CBR,” the Brazilian College of Radiology and Diagnostic Imaging (CBR) said in a short tribute. “He
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.
The country's largest imaging group estimated that 2,600 of its 3,600 radiologists (or 72%) are now using at least one AI tool in their daily workflow.
The study was published January 30 in the Journal of Vascular and Interventional Radiology. The image-guided procedure is done by interventional radiologists through a small hole the size of a pen tip. The full study is available here.
Radiologists seeking to provide equitable healthcare should establish "cultural dexterity" in their practices -- and there are three principles to follow, according to an article published August 6 in the Journal of the American College of Radiology. Cross-cultural patient encounters are now inevitable in radiology practice.
A new approach to a two-stage, deep-learning AI model for CT exams that detect adrenal glands and nodules could minimize false-positive results, reduce misdiagnoses and, when combined with human interpretation, decrease radiologists' workload by 10%, according to research published March 4 in Radiology. of patients for the left.
Radiology is experiencing a workforce shortage, but there are at least 9 ways to mitigate it, according to a clinical perspective published April 3 in the American Journal of Roentgenology. Rather than working longer and/or faster, there are ways for radiologists to work smarter," it noted. "By Consider seasonal contracts. "To
"We all need to grow in our individual experience of how we balance which test is best," said gastroenterological consultant and radiologist Gauraang Bhatnagar, MD, of Frimley Health National Health Service (NHS) Foundation Trust. During his segment of the course, Bhatnagar also suggested that radiologists should take charge of ultrasound. "We
There’s a reason why a classic radiology rite of passage is to miss an important finding and then overcall it on subsequent cases. Everyone is on the same team with the same goal of you one day becoming an outstanding clinicalradiologist. The post Self-Worth as an Early Radiology Trainee first appeared on Ben White.
Interventional radiologists are disproportionately distributed in the U.S, with higher densities practicing near urban areas, according to a study published October 30 in the Journal of Vascular and Interventional Radiology. Previous studies have shown unequal distributions of radiologists in the U.S., Almost 31.2%
A radiologist and a sonographer failed to diagnose critical conditions during two pregnancies, including a twin baby who died three days after birth, according to a report by the office of New Zealand's Health and Disability Commissioner (HDC). The radiologist ("Dr. The sonographer ("Mr.
More than nine in 10 pediatric radiologists reported that nonphysician providers are used often in the subspecialty, suggest findings published December 10 in the Journal of the American College of Radiology. The researchers, however, noted that previous surveys lack data on the pediatric radiology workforce.
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