Can AI improve sustainability in nuclear medicine?

Nuclear medicine experts support the use of AI to improve sustainability of practices in the field, yet said implementation will require careful consideration of the technology’s benefits and detriments, according to an article published April 6 in Radiography. Lead author Geoff Currie, PhD, of Charles Sturt University in New South Wales, Australia, and U.S. colleagues, discussed the potential for AI across what they describe as the “five pillars” of sustainability in nuclear medicine (social, human, economic, ecological, and environmental) and noted its benefits and threats in each pillar. “AI, digital twins, and generative AI offer potential benefits to sustainability in nuclear medicine," the group wrote. "There are benefits across each of the five pillars of sustainability, yet caution is advised." The authors noted that while their discussion leans heavily on their own previously published work, in this article, they aimed to reframe their expertise and insight within the “important context of sustainability.” Artificial intelligence AI algorithms have been developed that can rapidly and autonomously reconstruct serial PET/CT images in oncology patients, for instance, and compare radiomic features across the time series. This improves sustainability across all five pillars, they wrote, by creating greater accuracy and reproducibility, providing richer data insights, improving patient outcomes, and reducing the computational burden on human resources. Ho...
Source: AuntMinnie.com Headlines - Category: Radiology Tags: Nuclear Medicine Artificial Intelligence Source Type: news