Associate Professor Daiju Ueda
Image credit: Osaka Metropolitan University
On the other hand, 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 Graduate School of Medicine, a member of the Radiological Society of Japan, led a research team in studying the environmental costs of AI. In this research review, published in Diagnostic and Interventional Imagingcore members of the Japanese Society of Radiology and researchers in the medical field discussed the energy consumption of AI systems in the medical field, carbon emissions from data centers, and e-waste issues. Specific solutions to mitigate these environmental impacts were discussed, including the development of energy-efficient AI models, the implementation of green computing and the use of renewable energy.
Furthermore, the review proposes measures for the sustainable deployment of AI in the medical field. These are important guidelines for medical institutions, policymakers, and AI developers to operate AI systems in an environmentally friendly manner.