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Will generalist medical artificial intelligence be the future path for health-related natural language processing models?

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  1. Cocci A, Pezzoli M, Lo Re M, Russo GI, Asmundo MG, Fode M, et al. Quality of information and appropriateness of ChatGPT outputs for urology patients. Prostate Cancer Prostatic Dis. 2023;101038.

  2. Davis R, Eppler M, Ayo-Ajibola O, Loh-Doyle JC, Nabhani J, Samplaski M, et al. Evaluating the effectiveness of artificial intelligence-powered large language models application in disseminating appropriate and readable health information in urology. J Urol. 2023;101097.

  3. Xv Y, Peng C, Wei Z, Liao F, Xiao M. Can Chat-GPT a substitute for urological resident physician in diagnosing diseases? A preliminary conclusion from an exploratory investigation. World J Urol. 2023;41:2569–71.

    Article  PubMed  Google Scholar 

  4. Deebel NA, Terlecki R. ChatGPT performance on the American Urological Association self-assessment study program and the potential influence of artificial intelligence in urologic training. Urology. 2023;177:29–33.

    Article  PubMed  Google Scholar 

  5. Moor M, Banerjee O, Abad ZSH, Krumholz HM, Leskovec J, Topol EJ, et al. Foundation models for generalist medical artificial intelligence. Nature. 2023;616:259–65.

    Article  CAS  PubMed  Google Scholar 

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This article was a result of a collaborative effort involving multiple institutions. The authors would like to extend their gratitude to Prof. Y.Q. Wang from Hebei University (HBU) for providing insightful explanations about the generalist medical artificial intelligence (GMAI).

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Conceptualization: HJD, YW; Writing—Original Draft: HJD; Writing—Review & Editing: HJD, YW.

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Correspondence to Yi Wen.

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Di, H., Wen, Y. Will generalist medical artificial intelligence be the future path for health-related natural language processing models?. Prostate Cancer Prostatic Dis (2023).

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