Vision Pro: Study on useful applications in radiology
A US study has compared the use of normal screens with the Apple headset in imaging procedures. The result gives researchers cause for optimism.
Diagnostics on the Vision Pro: Display of images from imaging procedures.
(Image: University of California, San Diego / Forscher)
A group of scientists at the University of California, San Diego (UCSD) has investigated whether the use of Apple's Vision Pro can be useful in radiology. As part of a pilot study published in the Journal of Imaging Informatics in Medicine, the team led by Paul M. Murphy from the Institute of Radiology at UCSD tested whether the use of the headset could result in "new possibilities for 3D virtualization" and better ergonomics compared to normal screens. At the moment, radiologists and their staff still view the results of computed tomography (CT) scans as normal on a computer, which can be tiring in the long term.
Vision Pro app for radiologists
The specialized app Visage Ease VP was used in the study, which, in conjunction with a Visage 7 server, makes it possible to view various types of images from imaging procedures on the Vision Pro. However, the software has not yet been approved as a medical device, including the ability to make diagnoses. Test subjects from the radiology department were asked to use the tool to view a total of 100 CT scans in order to detect diverticulitis in the bowel.
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In a direct comparison between Vision Pro and Desktop, there was no difference in the quality of the detection rate – so it is at least as reliable. The radiologists also reported a "generally good user experience". The resolution is high enough, which, at least in theory, would avoid the need to buy special displays. "These results suggest that the display of this headset may be sufficient for visualizing such features," Murphy & Co. concluded.
From desktop to headset
There are also potential improvements to the possible uses in the field of radiology. For example, images can be displayed three-dimensionally in space and modified by means of eye and hand tracking – This could allow more precise analyses to be carried out, for example when detecting tumors. In addition, eye tracking has long been a research topic in radiology, according to the UCSD researchers –, among other things to determine how humans search for anomalies in scans and to better train AI systems.
Technically, this is currently realized using desktop systems, but AR headsets such as the Vision Pro could simplify the process. However, only if Apple releases the relevant data, at least for research purposes – The Vision Pro is known for its strict privacy protection of environmental data.
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