A new review highlights the urgent need for sustainable AI practices in healthcare, with emphasis on environmental impacts from applications like medical imaging.
Key Details
- 1AI is widely used in healthcare, including disease diagnostics and medical imaging analysis.
- 2A recent literature review of 47 studies found that sustainability considerations in healthcare AI are fragmented and lack a holistic approach.
- 3The International Energy Agency projects data center power consumption, fueled by AI, could double by 2030 (matching Japan's energy usage).
- 4Specific imaging examples include AI-assisted cancer diagnostics and radiotherapy planning already in clinical use.
- 5Researchers call for 'Green AI'—mandating life-cycle assessments and transparent reporting of AI's environmental footprint.
Why It Matters
As AI becomes integral to radiology and broader healthcare, unchecked growth could exacerbate global environmental harm and undermine public health. Addressing sustainability will be increasingly important for responsible AI deployment in imaging and clinical practice.
Source
EurekAlert
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