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Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Clinical effectiveness was quantified by calculating the change in anxiety symptoms, measured using the GAD-7, from baseline to final score, and estimating a within-participant effect size (Cohen d). A negative mean change denotes a reduction in GAD-7 total scores. Absolute Cohen d values are presented. The threshold for a clinically meaningful reduction in symptoms was defined as a change greater than the reliable change index of the GAD-7 scale (minimum of a 4-point reduction) [54].

Clare E Palmer, Emily Marshall, Edward Millgate, Graham Warren, Michael Ewbank, Elisa Cooper, Samantha Lawes, Alastair Smith, Chris Hutchins-Joss, Jessica Young, Malika Bouazzaoui, Morad Margoum, Sandra Healey, Louise Marshall, Shaun Mehew, Ronan Cummins, Valentin Tablan, Ana Catarino, Andrew E Welchman, Andrew D Blackwell

J Med Internet Res 2025;27:e69351

Nonpharmacological Multimodal Interventions for Cognitive Functions in Older Adults With Mild Cognitive Impairment: Scoping Review

Nonpharmacological Multimodal Interventions for Cognitive Functions in Older Adults With Mild Cognitive Impairment: Scoping Review

0.71, P=.002; MMSE: η2=0.189, P=.001) ME (ACE: Cohen d=0.64, P=.007; AVLT: η2=0.173, P=.001) PS (DRT-II: η2=0.033, P=.11) VF (Cohen d=0.73, P=.001) HEaq ATT (TMT-A and TMT-B) GC (ADAS-Cog and KMMSEar) PS (DSST) Group×time interaction ATT—TMT-A: P GC (ADAS-Cog: P=.11); KMMSE (P=.72) PS (P=.02) CT only EF (EFPT-Kas and FABat) EF (EFPT-K: η2=0.132, P CT only PT only SA only ATT (VFT-Category) GC (ADAS-Cog, CDR-SOBau, and CMMSEav) ME (list learning delayed recall test) ATT (VFT-C: χ2=23.38, P GC (ADAS-Cog: χ2=3.31

Raffy Chi-Fung Chan, Joson Hao-Shen Zhou, Yuan Cao, Kenneth Lo, Peter Hiu-Fung Ng, David Ho-Keung Shum, Arnold Yu-Lok Wong

JMIR Aging 2025;8:e70291