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HomeHealthCan ChatGPT model help in reducing carbon emissions in hospitals?

Can ChatGPT model help in reducing carbon emissions in hospitals?


New Delhi . Research released at the COP 29 climate conference in Baku, Azerbaijan has revealed that Generative Artificial Intelligence (GAI) models like ChatGPT can reduce the use of paper while handling patients in hospitals, but it is unlikely to save hospitals. This can help in saving the world from heavy carbon emissions.

Research conducted by Australian and UK researchers examined the impact of AI in healthcare using large language models.

A research paper published in the Journal of Internal Medicine shows that ChatGPT can easily handle thousands of patient records per day and can also reduce paper work. But their energy consumption can be very high.

The researchers suggested that hospitals should use AI carefully and responsibly. This also involves using short prompts to summarize patient data.

“By the end of your hospital stay, you may have tens of thousands of words accumulated to your name,” said Oliver Kleinig, who led the research from the University of Adelaide. Unlike busy healthcare workers, private large language models like ChatGPT are better able to adapt to this. Can.

“However, one AI query uses enough electricity to charge a smartphone 11 times and consumes 20 milliliters of fresh water in an Australian data center,” Kleinig said. ChatGPAT is estimated to consume 15 times more energy than Google. “Uses times as much energy.”

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Kleinig said that the environmental consequences of implementing large language models could be very significant. ChatGPT's healthcare AI system could have an impact beyond household emissions.

Additionally the hardware required for these AI systems requires largescale rare earth metal mining. This can harm the natural environment. Furthermore, the process of building AI systems can double carbon emissions.

However, this study shows that the use of AI can streamline patient movement and reduce paperwork.

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Image Credit: KhasKhabar.

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