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Communication and engagement with child-life specialists are a couple of factors in successful MR imaging for young children, according to research presented May 4 at the International Society for Magnetic Resonance in Medicine (ISMRM) meeting in Singapore.
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. Summary of ChatGPT's topics in five different clinical areas of radiology (n = 44).
Lunit is highlighting results published March 10 in Nature Communications that validate the effectiveness of its Lunit Insight MMG in South Korea's national breast cancer screening program.
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. A lot of people may not know whether or not their breast imaging clinic has an option for an AI-assisted read for their normal mammograms.
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. One current use of generative AI among radiologists is refining patient communication.
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.
To better assess the current landscape and challenges of AI applications in cardiac CT and MRI specifically, the paper aims to bridge the gap between burgeoning research developments and limited clinical applications, according to lead author Domenico Mastrodicasa, MD, from the University of Washington in Seattle, and colleagues.
Researchers led by EvieNguyen from the Mayo Clinic in Scottsdale, AZ found that gathering patient feedback after MRI appointments is feasible, and using this feedback to make practice adjustments improves patient experience scores. of surveys, long wait time in 6.3%, and poor communication in 6.1%. The full study can be found here.
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.
By expediting communication between radiologists and referring providers when suspicious findings are identified, the system has great potential to improve clinical outcomes in real-world scenarios, authors of a new study in JACR suggest.
September 10, 2024, is when federal breast density notification laws go into effect, and breast imaging facilities are doing their part in preparing to integrate these into clinical practice. Food and Drug Administration (FDA) for communicating with patients regarding their breast density.
In the real world, I would argue a quality radiology report is one that is accurate in its interpretation and clear in its communication. Even assessing whether they are clear or helpful in just their written communication requires either a human reviewer or AI to grade language and organization by some sort of mutually agreed-on rubric.
tim.hodson Thu, 01/30/2025 - 12:18 Yunu, a provider of clinical trial imaging workflow and data management solutions, has partnered with WCG, a global leader in clinical trial solutions, in support of WCGs imaging services. Collaborate Freely: Communicate with all trial stakeholders through a common platform.
Researchers led by Nelly Tan, MD, from the Mayo Clinic in Phoenix, AZ, also found that after implementing institutional policies to comply with the act’s information-blocking provisions, more patients accessed their reports before the ordering provider did.
In working with more than 1,200 health systems on clinical AI integration, here are a few consistent themes from AI-ready health systems: Fostering Continuous Learning : Ongoing training and professional development related to AI technologies for relevant staff is highly encouraged. In short: a clear AI governance structure is essential.
ChatGPT-4 consistently produces clinical vignettes that stereotype certain races, ethnicities, and genders, according to a study published in the January issue of The Lancet: Digital Health. It is crucial that LLM-based systems undergo rigorous fairness evaluations for each intended clinical use case,” the group concluded.
A-delta and C nerve fibers are two types that conduct pain perception, with A-delta fibers communicating sharp, localized pain and C fibers communicating dull, burning, and longer-lasting pain.) The complete study can be found here.
The investigators conducted a study that included clinical, behavioral, and task-based fMRI and EEG data from 353 adults. "The results of our study, which used neuroimaging and electrophysiological techniques, indicate that cognitive motor dissociation is more common than previously realized," the group noted.
Digital breast tomosynthesis (DBT) has a diagnostic accuracy comparable to digital mammography for women referred for breast imaging, a study published January 10 in Cancer Treatment and Research Communications found. The retrospective study included data collected from 10,742 total exams from the two modalities. compared to 0.90
As of January 2023, hybrid iterative reconstruction (HIR) -- a blend of FBP and MBIR -- was the state-of-the-art image reconstruction technique, according to Lennart Koetzier; Martin Willemink, PhD; and colleagues, who wrote about the technical principles and clinical prospects for the RSNA journal Radiology. Tim Leiner, MD, PhD.
AI technologies , particularly those that help automate administrative and clinical tasks, can have a transformative impact on key metrics like patient throughput, length of stay (LoS) and communication between medical teams. LoS in the ED is often affected by delays in receiving test results or coordinating care with other teams.
For the clinical staff who deliver patient care, expectations from their organization and clientele similarly center around providing excellent care as well as excellent service. This predictable occurrence is a seemingly inevitable reality. Many systems are turning to next generation digital solutions to overcome these challenges.
Developing and testing a new class of “super phantoms” is needed to optimize new medical imaging techniques before they are used in human studies, according to an article published May 24 in Communications Engineering. Image courtesy of Communications Engineering. An international group from the U.S.,
Suitable for clinics as well as large hospitals, Aplio me is a compact (55 x 73 x 130~177 cm) and lightweight system that can be customized to meet the operator’s clinical needs, Canon said. What’s more, Aplio me supports Canon’s ApliGate image viewing software and Tricefy cloud-based communication and management software.
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.
The technology figured prominently in five Minnies categories, including Hottest Clinical Procedure. Pickhardt believes using additional clinical data on CT imaging could save healthcare costs, especially when AI tools are used in parallel, suggesting it is a cost-effective or even cost-saving strategy for personalized or precision medicine.
ChatGPT may overprescribe medical imaging in the emergency department, suggest findings published October 8 in Nature Communications. Before large language models can be integrated within the clinical environment, it is important to fully understand both their capabilities and limitations,” Williams and colleagues wrote.
Implementing imaging referral guidelines not only supports value-based radiology but makes it easier to communicate with patients about low-value services, according to findings presented February 29 at ECR 2024. In addition, clinical decision support systems were the most evaluated mode of intervention, either integrated or standalone.
Previous reports have documented healthcare access disparities and lack of inclusion in clinical research regarding historically underserved populations. Having an infrastructure where communications and collaboration between the academic medical centers and affiliated community hospitals as routine and seamless is paramount,” they wrote.
For the clinical staff who deliver patient care, expectations from their organization and clientele similarly center around providing excellent care as well as excellent service. This predictable occurrence is a seemingly inevitable reality. Many systems are turning to next generation digital solutions to overcome these challenges.
These include interpretation and communication skills, critical thinking, real-time clinical judgment, and professionalism. “In Pfiffner and colleagues wrote that the new oral exams would see candidates show competencies that the multiple-choice exam does not assess.
ChatGPT may overprescribe medical imaging in the emergency department, suggest findings published October 8 in Nature Communications. Before large language models can be integrated within the clinical environment, it is important to fully understand both their capabilities and limitations,” Williams and colleagues wrote.
The multiple one-to-one communication between pulmonologist and teleradiologist benefited both caregivers. The communication between the pulmonologist and endoscopy surgeon at the tertiary center resulted in the successful removal of the impacted whistle and smooth recovery of the patient. But the lodged whistle did not remain silent.
The Power of Education and Communication in AI Success One of the biggest misconceptions about AI in radiology is that it replaces physicians. From the outset, securing buy-in from administrators and frontline staff requires transparent communication. They feel empowered by these expanded roles.
ask for an early stop to the examination, and 36% are dissatisfied with the communication between them and imaging staff, she noted. Further experience research needs sociodemographic diversity, clinical process and workflow data, and patient [feedback] to identify and target resources to improve the experience of care," she concluded.
Key discussions will include urging industry and academia to implement AI clinical translation, and the value of federal investment in medical imaging research and development, according to the academy.
cardiac CT or MRI, nuclear cardiology, or echocardiology) for myocardial ischemia and the more invasive coronary CT angiography (CTA) for patients exhibiting symptoms of the disease and for whom obstructive CAD can't be excluded by clinical assessment alone. Communicate," he said. years of follow-up compared with CT imaging (2.1%
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.
Repeated trauma seems to weaken the brains internal communication," stated Diociasi for the RSNA, noting that across very different populations, the same pattern emerges: mild but repetitive trauma can have lasting effects. "Our We also aim to quantify the burden of microdamage and explore how it correlates with clinical outcomes."
Patients prefer structure and thorough details on radiology reports, according to research published October 21 in Current Problems in Diagnostic Radiology. The team also suggested that patient-facing artificial intelligence (AI) tools could also help improve patient access and understanding without interrupting radiologist workflows.
Sahani, Chair of Radiology at University of Washington Medicine, explains how clinical teams leverage Aidoc AI to both flag suspected positive cases of PE and communicate them, once confirmed by a radiologist, to the entire PE response team to drive better collaboration and reduce time to treatment.
Several validated quantitative tools have been developed in recent years to accurately measure burnout among clinical staff, including radiologists and technologists. The 2023 Medscape Physician Burnout and Depression Report indicated that radiologists have a high burnout prevalence of 54%.
Case scenarios address nonroutine communication, reporting missed findings on comparison imaging, addressing technical limitations, and admitting mistakes, among others. Autoimmune encephalitis: When your immune system attacks your brain and MRI is your detective, by Fernando Diego Choque Chavez, MD, Hospital Clinic Barcelona, Spain.
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