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Artificial intelligence for predicting hospital admissions from the emergency department: a prospective, quasi-experimental study.

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Title: Artificial intelligence for predicting hospital admissions from the emergency department: a prospective, quasi-experimental study.
Authors: Ryu AJ; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA. Ryu.alexander@mayo.edu., Ayanian S; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA., Qian R; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA., Parikh RS; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA., Dugani SB; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA., Fischer KM; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., Heaton HA; Department of Emergency Medicine, Mayo Clinic, Rochester, MN, USA., Boyum JP; Department of Clinical Systems, Mayo Clinic, Rochester, MN, USA., Hinton BJ; Center for Digital Health, Mayo Clinic, Rochester, MN, USA., Lawson DK; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA., Burton MC; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Source: Nature communications [Nat Commun] 2026 May 12; Vol. 17 (1). Date of Electronic Publication: 2026 May 12.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ryu+AJ%22">Ryu AJ</searchLink>; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA. Ryu.alexander@mayo.edu.<br /><searchLink fieldCode="AU" term="%22Ayanian+S%22">Ayanian S</searchLink>; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Qian+R%22">Qian R</searchLink>; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Parikh+RS%22">Parikh RS</searchLink>; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Dugani+SB%22">Dugani SB</searchLink>; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Fischer+KM%22">Fischer KM</searchLink>; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Heaton+HA%22">Heaton HA</searchLink>; Department of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Boyum+JP%22">Boyum JP</searchLink>; Department of Clinical Systems, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Hinton+BJ%22">Hinton BJ</searchLink>; Center for Digital Health, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Lawson+DK%22">Lawson DK</searchLink>; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Burton+MC%22">Burton MC</searchLink>; Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.
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  Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2026 May 12; Vol. 17 (1). <i>Date of Electronic Publication: </i>2026 May 12.
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              Text: 2026 May 12
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