Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon:
Imaging plays a key role in oncology care, but, to date, it has been relegated to diagnosis and detection. However, providers are actively investigating how artificial intelligence can augment the impact imaging can have. Recent work is looking not only at screening and detection, but also diagnosis and risk stratification, tumor segmentation, precision oncology, and prognosis prediction and treatment assessment. Look for an article this week based on findings published in Clinical Radiology.
For more coverage of oncology imaging, click here.
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Peer review has been widely used as a tactic for identifying diagnostic errors and opportunities for improvement. However, it has fallen short of its goal of helping radiologists learn from mistakes. Consequently, the specialty is shifting toward peer learning – a strategy that allows for anonymous critique of diagnostic oversights and gives providers guidance to avoid future errors. This week, look for an interview with Regan City, director of National Sub-speciality Divisions and Patient Safety Organization with RadPartners, about how facilities and institutions can implement their own peer learning models.
For additional articles on RadPartners, click here.
Molecular imaging is becoming more important in differentiating between active joint inflammation and chronic joint damage seen in patients with rheumatic disorders. These advancements can, potentially, impact how providers evaluate treatment responses. Keep an eye open for an article later this week based on findings from the European Journal of Radiology on what’s coming with CT and MRI in musculoskeletal imaging.
For other articles on musculoskeletal imaging, click here.
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.
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 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.
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.