Artificial intelligence (AI) is increasingly being applied in healthcare, including cardiology, with growing interest in its potential to support diagnosis, prognosis, and clinical decision-making. The rapid pace of technological advancements is not matched by equivalent progress in the regulation and appraisal of th...
Łukasz Kołtowski, M. Basza, M. Soliński et al.· European Heart Journal - Dig...· 0 citations
BACKGROUND
Heart failure (HF) is a systemic syndrome affecting multiple organs. Organ age gaps (OAGs), quantifying organ-level aging from plasma proteomics, are linked to organ-specific disease including HF but have been studied exclusively cross-sectionally. We examined how organ-specific aging evolves within individu...
K. Qu, E. Diez-Benavente, Ezgi Hatip Ünlü et al.· European Journal of Heart Fa...· 0 citations
Risk factor 'weakness' after CHD appears to be a systemic phenomenon and consistent with the operation of index event bias, and broader progress in understanding subsequent event risk associations will require new methods that address index event bias.
L. Pasea, Spiros C. Denaxas, K. Tilling et al.· European Heart Journal· 1 citation
Any need to use a two-stage analysis approach has a negative effect compared to doing a one-stage analysis, and technical and data governance solutions to support one-stage analyses are recommended.
Stella Maris Fabiane, Sharon B. Love, D. Fisher et al.· International Journal of Pop...· 0 citations
The real-time prediction model demonstrated predictive value for AF and has potential for future clinical benefits, however, for clinical implementation, further refinement is necessary to improve its performance in identifying patients at risk for AF.
M. Moazeni, S. Moraga, M. Wösten et al.· JAMIA Open· 0 citations
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