Image-based questions were significantly more challenging for the large language model to answer, despite the latest version now being capable of accepting image prompts.
The course’s release follows numerous reported MRI accidents that have occurred in recent years, many that resulted in severe injury and some that were even fatal.
Interventional procedures play an integral role in managing traumatic pediatric injuries nonoperatively, though specific guidelines for the use of endovascular interventions in this setting have not been fully defined prior to these latest recommendations.
The Hillman Fellowship is named after Bruce Hillman, MD, who founded the Journal of the American College of Radiology. Honorees earn hands-on experience editing the journal.
The applications for VR/AR devices are wide-ranging, and could be particularly beneficial in underserved areas where patients have less access to care and clinicians have fewer opportunities to train.
The pandemic presented an unexpected yet fruitful opportunity for institutions to utilize social media in order to engage in meaningful medical discussions while also “building a brand” and increasing outreach efforts.
A new paper in Radiology explores factors that can lead to reader variability in CT imaging, from the radiologist’s experience level and subspecialty to navigation patterns and time spent interpreting.
Clinicians who receive specialty-specific workflow training are 24 times more likely to agree that the EHR meets their functionality needs, according to a new KLAS report.
Residents who were given access to the AI-based decision support system reported feeling that the tool was useful in multiple clinical scenarios, and its use was overwhelmingly supported by those who provided feedback.
New survey data completed by 200 respondents reveal that 45% of x-ray managers have never received proper training on management practices from their organizations.
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.
