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 |
| Sumario: | 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. |
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