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Its been five years since the COVID-19 pandemic was declared in the U.S., 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.
In the rapidly evolving healthcare landscape, artificial intelligence (AI) is making significant strides in improving radiology workflow and patient care coordination. Nicholas Galante, MD, medical director of informatics at Radiology Associates of North Texas, recently discussed how technology from Viz.ai is transforming his radiology practice, enhancing efficiency, and ultimately benefiting patient outcomes.
The Good Jobber and the Critical Curmudgeon Most radiology resident evaluations are a one-way trip on the keep reading express. Maybe, in harsher climates, read more, which is just a coded way of saying I wish you were better and more knowledgeable with the word “reading” used as a stand-in for “learn more useful stuff please.” Many attendings are nice but not kind.
Amidst rising cancer prevalence and soaring costs, new cancer technologies and innovations are emerging to support the early detection, treatment, and surveillance of cancer. Read this guide to understand how to evaluate these solutions for your employees and members – and to learn more about the current state of coverage, clinical and cost effectiveness, and impact on quality and outcomes.
F-18 fluoroestradiol (FES)-PET scans can predict whether or not endocrine therapy may be effective in women with estrogen receptor (ER)-positive breast cancer, according to a study published March 13 in the Journal of Nuclear Medicine. The finding is from a meta-analysis of published studies and further supports the use of the technique to improve outcomes for patients, noted lead author Ashwin Singh Parihar, MD, of the Mallinckrodt Institute of Radiology in St.
In the rapidly evolving healthcare landscape, artificial intelligence (AI) is making significant strides in improving radiology workflow and patient care coordination. Nicholas Galante, MD, medical director of informatics at Radiology Associates of North Texas, recently discussed how technology from Viz.ai is transforming his radiology practice, enhancing efficiency, and ultimately benefiting patient outcomes.
In the rapidly evolving healthcare landscape, artificial intelligence (AI) is making significant strides in improving radiology workflow and patient care coordination. Nicholas Galante, MD, medical director of informatics at Radiology Associates of North Texas, recently discussed how technology from Viz.ai is transforming his radiology practice, enhancing efficiency, and ultimately benefiting patient outcomes.
From “ The how we need now: A capacity agenda for 2025 and beyond ,” published by the Niskanen Center think tank: We need a new operating model for government if we are to restore our capacity to achieve our policy goals. This model must close the open loop we described in Part 3: a one-way system from law- and policy-making to implementation to real world outcomes that offers little space for learning and adjustment along the way.
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 team led by radiologist Young Joon Lee, MD, PhD, and urologist Hyong Woo Moon, MD, PhD, both from The Catholic University of Korea in the Republic of Korea, compared the diagnostic performance of the prostate cancer AI and radiologists c
Patient-centric scheduling can only be achieved through optimized radiology workflows, effective communications between staff and physicians, and, of course, through specialized schedulers. In this guide, we’ll take you through a step-by-step process to transform your radiology center into a high-performance hub of medical imaging.
As of this week, Independent Radiology features 125 private practices, which gives us an interesting look at a slice of the radiology job market. Here is the breakdown of subspecialty openings today: Mammo: 79% (99) Body: 78% (98) General: 71% (89) Neuro: 66% (83) MSK: 54% (67) VIR: 43% (54) Chest/Cardiovascular: 37% (46) NM/PET: 34% (42) Peds: 26% (32) Neuro IR: 6% (7) Off-hours positions are also plentiful with 39% (49) hiring swing shifts and 35% (44) hiring overnight radiologists.
Tracking targeted drug delivery is often a challenge due to limitations in the current imaging techniques. A recent study reports a breakthrough imaging technique that allows direct and highly sensitive tracking of gold nanoparticles (AuNPs) inside the body. This novel technique, which uses neutron activation of gold, could revolutionize cancer drug delivery by enabling real-time visualization of the gold nanoparticles without external tracers.
A PET study by researchers at the National Institutes of Health (NIH) has called into question the theory that ultraprocessed foods elicit brain responses akin to addictive drugs. A group at the NIHs Center on Compulsive Behaviors measured striatal dopamine responses on PET scans before and after healthy adults consumed ultraprocessed vanilla milkshakes.
About 40% of us will be diagnosed with cancer in our lifetime, and patients are getting younger. At the same time, the cost of treatment continues to rise, with employers spending 8.5% more on cancer care for each employee than they did last year. The best thing employers can do for their employees and business tomorrow is to invest in cancer detection and care today.
The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.
In the fast-paced world of medical imaging, theres a constant push to see more patients, complete exams faster, and keep up with demanding schedules. But what happens when speed starts to compromise patient care? This blog explores the real-life pressures that imaging technologists face, the hidden dangers of rushing, and practical ways to slow down while maintaining efficiency.
The use of CT colonography (CTC) for colorectal cancer screening is at an "inflection point" after its reimbursement approval in 2024 from the U.S. Centers for Medicare and Medicaid Services (CMS), according to a commentary published March 12 in the American Journal of Roentgenology. If the Medicare reimbursement approval translates to improved screening rates, patients will benefit, wrote a group led by David Kim, MD, of the University of Wisconsin School of Medicine and Public Health in Madiso
Discover how Color's comprehensive care solution is revolutionizing cancer screening adherence and knowledge. Through an in-depth case study, Color's unique approach to comprehensive cancer care has shown significant benefits in increasing screening rates and enhancing patient knowledge. Participants reported a 2-3x increase in adherence to screening guidelines over just 8 weeks, with 84% of participants increasing their familiarity with timing and frequency of cancer screening.
Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime.
The Healthcare Information and Management Systems Society (HIMSS) annual conference always brings forward valuable conversations, but this years event stood out for the depth of executive engagement and the evolving expectations around AI in healthcare. Its clear that the industry is moving beyond technology alone. Leaders want solutions that dont just check a box but drive real impact at scale.
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. In a reader study involving five radiologists interpreting 758 chest x-rays, use of the model (AIRead, Soombit.ai) reduced average reading times by 14 seconds per image and increased sensitivities for certain findings.
The Los Angeles-based imaging center operator recently inked a partnership with a Florida OB-GYN group and plans to "aggressively" pursue similar opportunities.
Explore the latest insights from the American Cancer Society's “Cancer Statistics 2024” report, which unveils multiple alarming trends in cancer data. Cancer is on the rise among young adults, and diagnoses for 6 of the 10 most common cancers are escalating. With over 2 million new cancer cases projected in the U.S. this year, employers face increased challenges when it comes to supporting employees.
In a prospective study involving 54 adults, ultralow-dose CT, denoised with deep learning, substantially cut radiation exposure while accurately detecting pneumonia.
AI is making its mark across healthcare fields, with over 1,000 AI models now cleared by the FDA. A large portion of these advancements directly impact cardiologymore specifically, cardiac sonography. Interpreting cardiac ultrasounds has become more complex and time-consuming for clinicians: With the shift toward a more quantitative analysis, there are more parameters for clinicians to measure.
Fluoroscopy-assisted ultrasound guidance for mini-percutaneous nephrolithotomy (mini-PCNL) procedures in children is a safer and more effective approach than fluoroscopy alone, researchers have found. The results suggest that there's a way to treat children with kidney stones with lower radiation doses, wrote a team led by Amr Salama, MD, of the Alexandria School of Medicine in Egypt.
As HR and Benefits leaders are in the midst of evaluating cancer care solutions and designing their requirements for vendors, it’s key to know what questions to ask to ensure the development of a truly comprehensive strategy: from prevention to diagnosis to treatment to survivorship. Getting to the right answers starts with asking the right questions: How can better access improve engagement?
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