{{Cite journal| doi = 10.1038/s41746-026-02522-8| issn = 2398-6352 (Electronic)| volume = 9| issue = 1| last1 = Wu| first1 = L.| last2 = Mai| first2 = L.| last3 = Wang| first3 = H.| last4 = Huang| first4 = J.| last5 = He| first5 = X.| last6 = Zhan| first6 = X.| last7 = Khalemsky| first7 = A.| last8 = Kumar| first8 = V. A.| last9 = Paxton| first9 = J. H.| last10 = Tsilimingras| first10 = D.| last11 = Hachimi-Idrissi| first11 = S.| last12 = Liu| first12 = S. W.| last13 = Savioli| first13 = G.| last14 = Rathlev| first14 = N. K.| last15 = Tazarourte| first15 = K.| last16 = Slagman| first16 = A.| last17 = Christ| first17 = M.| last18 = Qureshi| first18 = M.| last19 = Hariri| first19 = H.| last20 = Grossman| first20 = S. A.| last21 = Hu| first21 = B.| last22 = Wang| first22 = H.| last23 = He| first23 = B.| last24 = Levy| first24 = P. D.| last25 = O'Neil| first25 = B. J.| last26 = Gemme| first26 = S.| last27 = Kurland| first27 = L.| last28 = Lang| first28 = E.| last29 = Lin| first29 = J.| last30 = Liang| first30 = H.| last31 = Li| first31 = X.| last32 = Bellou| first32 = A.| title = Artificial Intelligence-powered tiered early warning framework addressing high false alarm rates for in-hospital mortality prediction| journal = NPJ Digit Med| date = 2026-03-15| pmid = 41832244}}