AI has been incorporated into healthcare devices, mostly in diagnostic imaging, radiation therapy, interventional radiology, and nuclear medicine.
The pros of AI for healthcare and climate change: The positives of AI in healthcare include a much smoother, faster, and less wasteful workflow. That can reducing wait times, bringing down greenhouse gas emissions.
The energy cost of AI in healthcare: The training and utilization of AI models are energy-intensive. AI require large datasets, complex algorithms, and multiple model updates. All these must run constantly in controlled environments, consuming a lot of energy.
Mitigation measures: Possible solutions could include increasing the energy efficiency of AI models via techniques like quantization and pruning.
Best practices for sustainable AI in healthcare include designing green frameworks, AI system lifecycle assessment, the responsible use of data, and regulatory oversight of changes and movements in the field.
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