Fitxers

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2025-01-07

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cc-by (c) Charman, S.J. et al., 2025
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/221805

Clinical validation of an artificial intelligence-based decision support system for diagnosis and risk stratification of heart failure (STRATIFYHF): a protocol for a prospective, multicentre longitudinal study

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Recurs relacionat

https://doi.org/https://doi.org/10.1136/bmjopen-2024-091793

Resum

Introduction Heart failure (HF) is a complex clinical syndrome. Accurate risk stratification and early diagnosis of HF are challenging as its signs and symptoms are non-specific. We propose to address this global challenge by developing the STRATIFYHF artificial intelligence-driven decision support system (DSS), which uses novel analytical methods in determining the risk, diagnosis and prognosis of HF. The primary aim of the present study is to collect prospective clinical data to validate the STRATIFYHF DSS (in terms of diagnostic accuracy, sensitivity and specificity) as a tool to predict the risk, diagnosis and progression of HF. The secondary outcomes are the demographic and clinical predictors of risk, diagnosis and progression of HF.

Matèries

Diagnòstic, Insuficiència cardíaca, Mètode longitudinal, Intel·ligència artificial, Presa de decisions multicriteri, Factors de risc en les malalties

Matèries (anglès)

Diagnosis, Heart failure, Longitudinal method, Artificial intelligence, Multiple criteria decision making, Risk factors in diseases

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Articles publicats en revistes (Economia)

Citació

MACGOWAN, Guy, et al. Clinical validation of an artificial intelligence-based decision support system for diagnosis and risk stratification of heart failure (STRATIFYHF): a protocol for a prospective, multicentre longitudinal study. BMJ Open. 2025. Vol. 15, num. 1-9. ISSN 2044-6055. [consulted: 12 of July of 2026]. Available at: https://hdl.handle.net/2445/221805

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