Letter to the Editor: Bridging the Implementation Gap in Emergency AI‐CDSS Research...Kareemi H, Yadav K, Price C, et al. Artificial intelligence–based clinical decision support in the emergency department: A scoping review. Academic Emergency Medicine. 2025;32(4):386-395.
The article focuses on a scoping review of Artificial Intelligence–Based Clinical Decision Support Systems (AI‐CDSS) in emergency medicine, highlighting the significant challenge of advancing beyond early-phase development. It notes that over 94% of studies remain in the preclinical "in silico" stag...
| Publicado en: | Academic Emergency Medicine Vol. 32; no. 11; pp. 1266 - 1268 |
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| Autor principal: | |
| Formato: | commentary letter Journal Article |
| Publicado: |
Wiley-Blackwell
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189263940&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189263940 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10696563 Z27 jtl: Academic Emergency Medicine issn: 10696563 maglogo: Y pubinfo: dt: Nov2025 vid: 32 iid: 11 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 189263940 186279213 189263940 189263940 10.1111/acem.70092 189263940 ppf: 1266 ppct: 2 formats: tig: atl: Letter to the Editor: Bridging the Implementation Gap in Emergency AI‐CDSS Research...Kareemi H, Yadav K, Price C, et al. Artificial intelligence–based clinical decision support in the emergency department: A scoping review. Academic Emergency Medicine. 2025;32(4):386-395. aug: au: Boğa, Erkan affil: Department of Emergency Medicine, Esenyurt Necmi Kadıoğlu State Hospital, Istanbul, Türkiye sug: subj: Artificial Intelligence Utilization Decision Support Systems, Clinical Decision Making, Computer Assisted Emergency Medicine Individualized Medicine Patient Care Emergency Service Implementation Science Algorithms ab: The article focuses on a scoping review of Artificial Intelligence–Based Clinical Decision Support Systems (AI‐CDSS) in emergency medicine, highlighting the significant challenge of advancing beyond early-phase development. It notes that over 94% of studies remain in the preclinical "in silico" stage, emphasizing the need for alignment with frameworks like DECIDE‐AI and TRIPOD‐AI to standardize development. The review also stresses the importance of incorporating implementation science principles and addressing the administrative needs of emergency physicians to ensure real-world adoption of AI tools. Additionally, it points out the scarcity of prospective trials, which raises concerns about clinical safety and generalizability, underscoring the necessity for robust evidence before widespread implementation. pubtype: Academic Journal doctype: commentary letter Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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