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Large language models accurately identify immunosuppression in intensive care unit patients.
Guggilla V, Kang M, Bak MJ, Tran SD, Pawlowski A, Nannapaneni P, Rasmussen LV, Schneider D, Donnelly HK, Agrawal A, Liebovitz D, Misharin AV, Budinger GRS, Wunderink RG, Walunas TL, Gao CA; NU SCRIPT Study Investigators. Guggilla V, et al. J Am Med Inform Assoc. 2025 Sep 22:ocaf141. doi: 10.1093/jamia/ocaf141. Online ahead of print. J Am Med Inform Assoc. 2025. PMID: 40977378 Free PMC article.
Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patients.
Guggilla V, Kang M, Bak MJ, Tran SD, Pawlowski A, Nannapaneni P, Rasmussen LV, Schneider D, Donnelly H, Agrawal A, Liebovitz D, Misharin AV, Budinger GS, Wunderink RG, Walunas TL, Gao CA; NU SCRIPT Study Investigators. Guggilla V, et al. medRxiv [Preprint]. 2025 Jan 17:2025.01.16.25320564. doi: 10.1101/2025.01.16.25320564. medRxiv. 2025. PMID: 39867358 Free PMC article. Preprint.
Natural language processing algorithms identify wild-type isocitrate dehydrogenase gliomas in electronic health records.
Forrest N, Guggilla V, Bell A, Zelisko S, Federico EM, Power EA, Birch S, Nandoliya KR, Houskamp EJ, Tran S, Lukas RV, Johnson JL, Roy I, Wainwright DA, Walunas TL. Forrest N, et al. Among authors: guggilla v. Neurooncol Adv. 2025 Jun 7;7(1):vdaf111. doi: 10.1093/noajnl/vdaf111. eCollection 2025 Jan-Dec. Neurooncol Adv. 2025. PMID: 40703809 Free PMC article.