“Essentially, the way it works is Samsung has a data set — a lot of different images that it uses to create an algorithm or a model that helps detect the actual nerve block in the arm,” Flores says.
Though NerveTrack is a nascent technology, sonographers, medical students and residents at the University of Nevada, Las Vegas’s teaching hospital are already using the tool. The Pain Management Center at Seoul National University Hospital in South Korea has also deployed the technology.
Using high-performance computing and AI technologies in medical imaging is one of the best ways to help healthcare professionals worldwide, says Dr. Won-Chul Bang, vice president of product strategy at Samsung Medison.
“As AI is rapidly growing in other fields, its application is increasing in medical imaging as well,” he says. “AI can be used for workflow simplification, image quality enhancement and to support the clinical decision.”
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AI Growth and Usage in Medical Imaging
The healthcare industry has expanded its use of AI in medical imaging and other functions, including clinical decision support, says Mutaz Shegewi, IDC’s research director for provider IT transformation strategies. “From a diagnostic standpoint, you have AI being increasingly used to see what clinicians can’t see in medical imaging to be able to identify certain lesions, certain manifestations of disease,” he adds.
When it comes to clinical decision support, he says the benefits of AI to physicians and patients could be immense. “If AI can tap into the global evidence base and convey that know-ledge into a real-time process that complements physicians’ own intelligence, the benefits are tremendous for the patient in terms of diagnosis, the clinical course of management and the treatment being more likely to be effective, affordable and feasible,” Shegewi says.
