If global healthcare were a nation, it would rank as the fifth-largest emitter of greenhouse gases globally. The terabytes of data hospitals store – from patient records and diagnostic images to real-time surgical video – generally remain siloed, unanalyzed holistically and ultimately not used to their potential. it’s an inefficiency costing us enormously in energy and resources.
However, efficient, task-specific AI models – often called narrow AI – require less computational power to use AI without energy-intensive processing. Building on these efficiencies, AI algorithms can increasingly distinguish patient risk with remarkable precision.
Healthcare can lead the way in balancing environmental stewardship with enhanced patient outcomes through reliable data, transparent regulation, and cross-sector collaboration.
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