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In a large-scale prospective trial conducted at a breast screening program in Europe, fewer women were recalled based on AI analysis of their digital mammogram than those recalled due to consensus findings from radiologists. The observed behavior may attenuate, and underestimate, the potential benefits of AI CAD in screening programs.
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.
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.
Although relatively few of these changes will impact radiology practices, its essential to know what they are and adjust your practice systems accordingly. Interventional radiology Percutaneous RF Ablation of Thyroid There have been no CPT codes to report RF ablation of the thyroid under imaging guidance. Erin Stephens.
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.
A commercially available deep-learning (DL) algorithm can enable good quality seven-minute shoulder MRI exams, according to research published February 18 in Radiology. Seven radiologists evaluated the MRI scan quality and the presence of artifacts using a Likert scale ranging from 1 (very bad/severe) to 5 (very good/absent).
PET/MRI imaging shows promise in diagnosing fevers or inflammation of unknown origin and may have advantages over PET/CT, according to a study published January 3 in the European Journal of Radiology. Image courtesy of the European Journal of Radiology.
Sports radiologists are preparing for another fall season of high-contact sports, and that means brushing up on protocols and emphasizing teamwork among one's clinician colleagues. I love the role I play in diagnosing and treating these athletes. It [radiology] was a good fit for me because it’s kind of the architecture of the body.
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
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.
MRI and ultrasound have tradeoffs in diagnosing peripheral neuropathies of the upper extremity, a study published March 4 in Radiology found. High-resolution imaging provides important pathomorphological information in diagnosing peripheral nerve disorders. Images and caption courtesy of the RSNA. Sensitivity 91.6%
Virtual/augmented reality (VR/AR) headsets show promise for helping clinicians interpret CT exams -- even for conditions such as diverticulitis, which can be tricky to diagnose, researchers have reported. Six radiologist readers rated the exams on a six-level scale for the condition (1 = no diverticulitis, 6 = diverticulitis).
Attendees can also take advantage of the many educational sessions that will put the spotlight on the complex and challenging aspects of personalized, targeted radiological care. This includes glimpses of what the future may hold for radiologists in women’s imaging and other specialties. 8:10 a.m. | 4:50 p.m. | 10:00 a.m. |
In a medical literature review, a group at McMaster University in Ontario, Canada, said they found compelling evidence that AR can offer interventional radiologists real-time guidance and enhanced visualization during these procedures, noted first author Yousif Al-Naser and colleagues.
according to findings published December 10 in Radiology. Our research is showing that we are missing opportunities to diagnose disease early, Monticciolo told AuntMinnie.com. We need to have women, radiologists, and clinicians recognize these trends are not favorable and we have to reverse them if were going to save womens lives.
when assessing text-based medical imaging cases, a study published January 16 in Radiology found. Large language models such as ChatGPT have interested radiologists within the past year for their ability to comprehend and generate human-like text. and ChatGPT-4 in solving text-based Radiology “Diagnosis Please” cases.
POCUS allows for real-time evaluation and administration of treatment, without reliance on facility-based scanning, i.e. radiology departments, and avoidance of unnecessary tertiary care referral is a major benefit, he added. The clinical implementation of point-of-care ultrasound is making steady progress. Courtesy of Dr. Cher Heng Tan.
12, 2025 Konica Minolta Healthcare Americas, has published a case study by clinicians in the pulmonary and radiology departments at ASST Fatebenefratelli Sacco (Milan, Italy) demonstrating the use of Dynamic Digital Radiography (DDR) to help definitively diagnose diaphragm dysfunction. tim.hodson Fri, 02/14/2025 - 15:14 Feb.12,
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.
Automation represents the current value of AI in the hospital emergency department (ED), a Yale University emergency radiologist shared last week at the 124th American Roentgen Ray Society (ARRS) meeting in Boston. We diagnose almost 180,000 pathologies as radiologists. Davis also said emergency radiology is constantly evolving.
Becoming a radiologist requires an extraordinary level of dedication, education, and training. Radiologists are medical doctors who specialize in interpreting imaging studies like X-rays, CT scans, MRIs, and ultrasounds to diagnose and guide treatment for various conditions.
Using direct radiologic image inputs can improve the diagnostic accuracy of large language models, according to research published July 9 in Radiology. The researchers highlighted that while previous studies have analyzed the performance of these models in radiologic settings, they used text-based inputs without images.
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.
Women in racial and ethnic minority backgrounds are less likely to be provided same-day diagnostic breast imaging services, despite such services being available, according to research published February 18 in Radiology. The full study can be found here.
Much has been said of what AI algorithms in radiology can do and how well they have performed during their validation, but much less has been said about inevitable performance degradation over time and what to do about it.
A range of federal and state legislation and other developments in the works could have a significant impact on radiologic technologists and registered radiology assistants, either supporting and strengthening these professions or weakening them.
A Los Angeles-area radiology group has agreed to pay nearly $2.4 million whistleblower False Claims Act lawsuit involving higher-paying diagnoses codes and radiology report addenda to support them, according to the U.S. million as part of a $62.8 Attorney's Office in the Central District of California.
AI may have a role in finding contralateral disease in women with a personal history of breast cancer, according to findings published April 8 in Radiology. Lunit ) with that of two breast radiologists with no AI assistance for second breast cancer surveillance in women treated with unilateral mastectomy. Sensitivity 55.0%
Sonographic imaging descriptors and histopathological diagnoses are needed for more accurate assessment of benign breast lesions, suggest findings published February 3 in BMC Womens Health. They also studied the radiological characteristics of these masses and identified ultrasound features that could lead to false-positive results.
Integrating radiology report features into a deep-learning (DL) algorithm improves the model's ability to identify brain lesions on MRI exams, researchers have reported. Dai's and colleagues' findings were published October 9 in Radiology: Artificial Intelligence. The researchers extracted textual features (i.e., Microaveraged AUC 0.89
AI in radiology is extending beyond enhancing diagnostics. Preventive Radiology: A Paradigm Shift in Patient Care Historically, radiology has focused on diagnosing conditions after symptoms appear. With AI, radiologists are now playing a more proactive role by identifying at-risk patients before major health issues arise.
A team led by Jan Rudolph, MD, from University Hospital, LMU Munich in Germany found that a convolutional neural network (CNN)-based AI system focusing on chest x-rays improved the performance of nonradiologists in diagnosing several chest pathologies. “In
Radiology is constantly evolving, with advancements and challenges shaping how providers deliver care. Artificial Intelligence (AI): Revolutionizing Radiology in 2025 AI continues to make waves in radiology, offering improved diagnostic accuracy and efficiency. Read more about AI advancements in radiology here.
No matter the experience level, radiologists are prone to automation bias whe. Read more on AuntMinnie.com Related Reading: AI proves comparable to rads for assessing BI-RADS 4 breast lesions AI, radiologists match when it comes to classifying breast density Is ChatGPT appropriate for breast radiology?
A standardized detection reporting system can help radiologists accurately categorize how breast cancer is identified -- either through screening or symptomatic presentation -- when performing image-guided breast biopsies, researchers have found. These included the following: symptomatic presentations, imaging modalities, and other.
This post is meant to prompt you to do the work of meta-learning: learning about learning, trying to figure out the best ways to learn the art and science of practicing radiology. When it comes to drilling in diagnostic radiology, I also interpret this to mean honing your search pattern/approach.
Radiologists can help reduce unnecessary follow-up work in patients with suspected oropharynx cancer by analyzing certain metrics on PET/CT scans, according to a team of head and neck surgeons at the Mayo Clinic in Rochester, MN. Further analysis revealed that these diagnosed patients had higher F-18 FDG mean ipsilateral radiotracer uptake.
Radiology staff at the Ohmatdyt Children's Hospital in Kyiv are making steady progress with their plan to restore normal service after a devastating missile attack. Stanislav Rebenkov, MD, head of radiology, and his team are gradually starting to rebuild the department.
Radiology plays a crucial role in modern medicine, answering essential diagnostic questions pertaining to nearly every pathology facing clinicians. 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.
Deep learning can help radiologists detect breast cancer on contrast-enhanced CT, according to Japanese research published on October 13 in Clinical Radiology. The team also tested the model on the performance of five radiologists with a range of one to 12 years of experience. of women undergoing chest CT.
In the rapidly evolving field of radiology, embracing innovation is key to staying ahead and delivering exceptional patient care. Wolansky, MD, Professor and Chair of Radiology and Section Head of Neuroradiology, has firmly positioned itself as an early adopter of AI. UConn Health, under the leadership of Leo J. It is a tool.”
When it comes to detecting and diagnosing various medical conditions, the field of radiology plays a critical role. Professional Radiology, a leading diagnostic imaging radiology center in El Paso, has been at the forefront of these innovations, offering a wide range of services to aid in the early detection and diagnosis of diseases.
Every November, Radiologic Technology Week celebrates the vital role radiologic technologists play in patient care and diagnostics. This annual event recognizes the hard work and dedication of radiologic technologists (RTs) who operate imaging technology to aid in accurate diagnoses and treatments. vacancy rate.
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