In a new podcast episode, Joseph Cavallo, MD, MBA, offered his perspective on AI integration, potential efficiency gains, navigating post-deployment monitoring and how to incorporate AI literacy into radiology resident training.
|Slideshows|July 23, 2014
More Top Mobile Apps for Radiology
Author(s)Liza Haar
We've updated our must-have mobile app list for radiologists.
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The mobile app market is booming, and whether you’re a patient or a physician, it’s time to take note.Healthcare applications are expected to reach 500 million people in 2015, according to research2guidance, who published the “Global Mobile Health Market Report 2013-2017” study. The study indicates that 43 percent of mobile health applications are primarily designed for healthcare professionals.“Our findings indicate that the long-expected mobile revolution in healthcare is set to happen. Both healthcare providers and consumers are embracing smartphones as a means to improving healthcare,” Ralf-Gordon Jahns, head of research at research2guidance, said in an article.In 2013, we consulted popularity lists and expert testimonials to gather the most popular and useful apps for radiologists. We did this again for 2014 and came up with some new contenders.Did we miss one? Tell us your favorite in the comments section below. Apps highlighted are:Diagnostic RadiologyThe Radiology AssistantiRadiologyCTisus iQuizRad-RxRealworld RadiologyRadU
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In the third of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss recent developments with autonomous AI in breast imaging and share their perspective on the overall potential of AI to help mitigate the radiologist shortage.
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Has the barrage of passwords, PINs and authenticator apps gone around the bend to a point where it hampers efficiency and productivity?
Catch up on the top radiology content of the past week.
In a recent interview with Diagnostic Imaging, Joseph Cavallo, MD, MBA, offered insights on post-deployment monitoring with AI, the potential for improved workflow efficiency and the ongoing challenge of balancing essential clinical skills and AI literacy in the training of radiology residents and fellows.
The FFR-IQ software recently demonstrated a 92.2 percent sensitivity for non-invasive estimation of fractional flow reserve (FFRC) based on coronary CT angiography (CCTA) scans.
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