A new paper highlights the need for responsible and sustainable use of AI in healthcare to mitigate its environmental impact, especially concerning its high carbon footprint. It offers recommendations for reducing energy consumption and improving sustainability practices.
By Dr. Liji Thomas, MDReviewed by Sophia CoveneyAug 5 2024 The introduction of artificial intelligence has revolutionized healthcare systems. A new paper in the journal Diagnostic and Interventional Imaging discusses the steps necessary to ensure AI in healthcare is used responsibly and sustainably.
However, this computationally heavy platform comes with a high carbon footprint, which may accelerate climate change and negatively impact the environment in multiple ways. Related StoriesAI can also enhance the clinician’s diagnostic capabilities, thus avoiding the need for repeat examinations. When coupled with a sleeker workflow, this can help promote virtual care and reduce unnecessary patient travel, bringing down greenhouse gas emissions.
Healthcare also produces large amounts of electronic waste due to the constant need for hardware updates. Such waste can poison the environment due to the use of materials such as lead, cadmium, and mercury. Incorporating renewable energy can reduce AI-associated energy consumption. In fact, AI-aided nuclear fusion reactor design could make progress in harnessing this power source for AI in healthcare.
Healthcare Artificial Intelligence Deep Learning Diagnostic Imaging Medicine Nuclear Medicine Radiation Therapy Radiology
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