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Battle of the AIs in medical research: ChatGPT vs Elicit

Battle of the AIs in medical research: ChatGPT vs Elicit
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Osaka , Japan , Yao-chun-hsu , Masaru-enomoto , Bristol-myers-squibb , Cheng-hao-tseng , Mindie-nguyen , Pfizer , Phepatology-communications , School-of-medicine-at-osaka-metropolitan-university , Glaxosmithkline , Astrazeneca

Battle of the AIs in medical research: ChatGP

<p style="text-align:justify">A research team led by Osaka Metropolitan University focused on generative AI as an information-gathering tool in the medical field. The results showed that one of the generative AIs suggested mostly fictitious references, while the other suggested multiple references with the same level of accuracy as the researchers. The use of generative AI in literature search suggests the possibility of efficiently collecting a vast amount of medical information, provided that users are well aware that the performance of generative AI is still in its infancy and that not all information presented is necessarily reliable. It is advised to use different generative AIs depending on the type of information needed.</p>
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Osaka , Japan , Yao-chun-hsu , Bristol-myers-squibb , Mindie-nguyen , Cheng-hao-tseng , Masaru-enomoto , Osaka-metropolitan-university , Osaka-city-university , Method-of-research , Osaka-prefecture-university , Twitter