研究提出了保健放射学的绿色人工智能解决方案,解决能源消耗和碳排放问题。 Study proposes green AI solutions for healthcare radiology, addressing energy consumption and carbon emissions concerns.
人工智能(AI)在保健,特别是放射学方面的采用激增,但人们对其环境影响,如能源消耗、碳排放和电子废物等,产生了关切。 Artificial Intelligence (AI) adoption in healthcare, particularly radiology, has surged, but concerns about its environmental impact, such as energy consumption, carbon emissions, and electronic waste, have emerged. 大阪大都会大学副教授Daiju Ueda领导的一项研究探讨了这些问题,提出了节能AI模型、绿色计算和可再生能源使用等解决办法。 A study led by Osaka Metropolitan University's Associate Professor Daiju Ueda explored these issues, proposing solutions like energy-efficient AI models, green computing, and renewable energy usage. 这项研究旨在平衡人工智能在医疗保健中的好处与环境影响,并为负责任的人工智能部署提供指导方针. The study aims to balance AI's benefits in healthcare with its environmental impact and offers guidelines for responsible AI deployment.