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Skip search results from other journals and go to results- 1086 Journal of Medical Internet Research
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Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review
Interact J Med Res 2025;14:e73517
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improvement only in the NIbe-only group (P=.008)
PI only
ATT (TEAbg)
ME (RBMTbh)
PS (digit symbol test)
ATT: TEA (visual selective ATT: Cohen d=0.15, P=.82; F2,70=0.196; sustained ATT: Cohen d=0.127, P=.88; F2,62=0.125; ATT switching: Cohen d=0.0487, P=.13; F2,70=2.071)
ME (Cohen d=0.583, P=.06; F2,70=2.972)
PS (Cohen d=0.16, P=.80; F2,72=0.230)
IN
GC (Five-Cog test)
EF (DSST and YKSSTbi)
GC (F=2.999, P=.09; F1,38=2.999)
EF (DSST: F=1.165, P=.29; YKSST: F=0.096, P=.76; F1,38=1.165)
PT only
GC (FAB)
GC: effect size (r=
JMIR Aging 2025;8:e70291
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All analyses were conducted using R statistical software (version 4.0.4; R Foundation for Statistical Computing) [76] and RStudio (version 1.4.1106) [77]. Reported P values were 2-sided with a significance level of.05.
For the primary outcome at T2 and T3, we used an ITT-based univariate analysis of covariance (ANCOVA) with baseline ISI scores as covariates, comparing i CBT-I to a CG [78,79]. ANCOVAs were also used to explore secondary outcomes.
J Med Internet Res 2025;27:e58024
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