Medical Xpress August 2, 2024
Similar to other sectors around the world, the light speed development of artificial intelligence (AI) has made its way into health care, particularly the radiology field. As such, AI-based diagnostic systems are flourishing, with hospitals quickly adopting the technology to assist radiologists. In contrast, there are concerns about the environmental impact of increasingly complex AI models and the need for more sustainable AI solutions.
Therefore, Associate Professor Daiju Ueda of Osaka Metropolitan University’s Graduate School of Medicine, a member of the Japan Radiological Society, led a research team in the investigation of the environmental costs of AI. The results were published in Diagnostic and Interventional Imaging.
In this research review, head members of the Japan Radiological Society and medical field...
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