@ShahidNShah
Artificial Intelligence (AI) is revolutionizing the healthcare sector, offering unprecedented opportunities to enhance clinical efficiency, decision-making, and patient outcomes. However, alongside these benefits, AI brings considerable environmental costs due to its high computational demands. The study by Pariso et al. on AI-driven energy management in Italian hospitals illustrates the dual nature of this transformation, highlighting both the potential for increased efficiency and the structural challenges involved. In this context, the paradigm of Green AI has emerged, advocating for environmentally sustainable approaches to AI development and implementation in healthcare.
AI is rapidly improving healthcare efficiency and clinical decision-making, but its high computational demands also create significant environmental costs such as increased energy use and carbon emissions.
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Traditional public health surveillance efforts are generally based on self-reported data. Although well validated, these methods may nevertheless be subjected to limitations such as biases, delays, …
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