Medical large language models are vulnerable to data-poisoning attacks

Alber, Daniel Alexander, Yang, Zihao, Alyakin, Anton, Yang, Eunice, Rai, Sumedha, Valliani, Aly A., Zhang, Jeff, Rosenbaum, Gabriel R., Amend-Thomas, Ashley K., Kurland, David B., Kremer, Caroline M., Eremiev, Alexander, Negash, Bruck, Wiggan, Daniel D., Nakatsuka, Michelle A., Sangwon, Karl L., Neifert, Sean N., Khan, Hammad A., Save, Akshay Vinod, Palla, Adhith, Grin, Eric A., Hedman, Monika, Nasir-Moin, Mustafa, Liu, Xujin Chris, Jiang, Lavender Yao, Mankowski, Michal A., Segev, Dorry L., Aphinyanaphongs, Yindalon, Riina, Howard A., Golfinos, John G., Orringer, Daniel A., Kondziolka, Douglas, Oermann, Eric Karl·2025·Nature Medicine
DOI 10.1038/s41591-024-03445-1

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