Diagnostic Imaging Weekly Scan -- May 1, 2020
Whitney Palmer: Welcome to Diagnostic Imaging’s Weekly Scan. I’m Whitney Palmer, Senior Editor. We’re back with you this week with the latest updates on the COVID-19 outbreak and its impact on the radiology industry.
Following the example of BI-RADS and Lung-RADS to categorize the severity of disease, a group of Dutch researchers this week released CO-RADS, a system designed to not only help you determine the extent of a patient’s disease on CT scans, but to also streamline the language in your structured reporting. Outlined in Radiology, the team discussed a six-category system that discusses the varying appearances of pulmonary involvement, scoring patients from 0 to 6.
Although we’re several weeks into this pandemic, radiology practices can still benefit from hearing about the experiences of others in the industry. In an article published in the Journal of the American College of Radiology, six experts from throughout the country shared how the viral outbreak has impacted their practices and departments. They discussed how COVID-19 has changed their workflow, their imaging management, and their revenue. These experts said they hoped by sharing their experiences they can help you and your colleagues continue to navigate this outbreak, as well as prepare for any second COVID-19 waves or other pandemics.
There’s been a great deal of conversation about whether artificial intelligence tools can actually help you in identifying or managing patients who are COVID-19 positive. In a study published this week in Radiology, you finally got some type of answer. A research team, led by investigators from Rhode Island Hospital, developed a new AI model to help you distinguish between COVID-19 pneumonia and pneumonias of other etiologies. According to their results, using this tool can improve your diagnostic accuracy, sensitivity, and specificity.
No doubt you’ve experienced significant changes to your workflow, your imaging volume, and your bottom line. And, you might be wondering how these shifts could be affecting the radiology industry as a whole. To answer those questions, Dr. Krishna Nallamshetty, President of Radiology Associates of Florida and Executive Vice President of Radiology Partners shared his thoughts with Diagnostic Imaging on the current impact of these changes and what influence they might have long-term.
And, finally, news has continued to emerge this week on the incidence of stroke and other neurological and vascular complications in patients who are COVID-19 positive. Scanning these patients with MRI can be tricky because many are too sick to move, and doing so presents additional safety challenges. To address this problem, a handful of institutions have begun using Hyperfine, a portable, bedside MRI system, to scan patients and identify significant problems. Northwell Health is one of these facilities, and Diagnostic Imaging had the opportunity to talk with Dr. Michael Schulder, co-director of radiosurgery and stereotactic radiation and director of neurosurgery, about his facility’s experience with this tool and the impact it’s making. Here’s what he had to say.
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
FDA Grants Expanded 510(k) Clearance for Xenoview 3T MRI Chest Coil in GE HealthCare MRI Platforms
November 21st 2024Utilized in conjunction with hyperpolarized Xenon-129 for the assessment of lung ventilation, the chest coil can now be employed in the Signa Premier and Discovery MR750 3T MRI systems.
The Reading Room Podcast: Emerging Trends in the Radiology Workforce
February 11th 2022Richard Duszak, MD, and Mina Makary, MD, discuss a number of issues, ranging from demographic trends and NPRPs to physician burnout and medical student recruitment, that figure to impact the radiology workforce now and in the near future.
FDA Clears AI-Powered Ultrasound Software for Cardiac Amyloidosis Detection
November 20th 2024The AI-enabled EchoGo® Amyloidosis software for echocardiography has reportedly demonstrated an 84.5 percent sensitivity rate for diagnosing cardiac amyloidosis in heart failure patients 65 years of age and older.